Precision Medicine And Artificial Intelligence

Precision Medicine And Artificial Intelligence Book PDF
✏Book Title : Precision Medicine and Artificial Intelligence
✏Author : Michael Mähler
✏Publisher : Academic Press
✏Release Date : 2021-04-01
✏Pages : 316
✏ISBN : 9780323854320
✏Available Language : English, Spanish, And French

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✏Precision Medicine and Artificial Intelligence Book Summary : Precision Medicine and Artificial Intelligence: The Perfect Fit covers background on AI, its link to PM, and examples of AI in healthcare, especially autoimmunity. The book highlights future perspectives and potential directions as artificial intelligence (AI) has gained significant attention in the past decade. Autoimmune diseases are complex and heterogeneous conditions, but exciting new developments and implementation tactics surrounding automated systems has enabled the generation of large amounts of data, making autoimmunity an ideal target for AI in the field of Precision Medicine (PM). More and more diagnostic products utilize AI, which is also starting to be supported by regulatory agencies such as the Food and Drug Administration (FDA). Knowledge generation by leveraging large data sets including demographic, environmental, clinical and biomarker data has the potential to not only impact the diagnosis of patients, but also disease prediction, prognosis and treatment options. Allows the readers to get a good overview of the field of Precision Medicine for autoimmune diseases and Artificial Intelligence Provides background, milestone and examples of precision medicine for autoimmune disease and artificial intelligence Proves the paradigm shift towards precision medicine driven by value based systems Discusses future applications of precision medicine research using artificial intelligence

Artificial Intelligence For Drug Development Precision Medicine And Healthcare Book PDF
✏Book Title : Artificial Intelligence for Drug Development Precision Medicine and Healthcare
✏Author : Mark Chang
✏Publisher : CRC Press
✏Release Date : 2020-05-12
✏Pages : 352
✏ISBN : 9781000767308
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence for Drug Development Precision Medicine and Healthcare Book Summary : Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare covers exciting developments at the intersection of computer science and statistics. While much of machine-learning is statistics-based, achievements in deep learning for image and language processing rely on computer science’s use of big data. Aimed at those with a statistical background who want to use their strengths in pursuing AI research, the book: · Covers broad AI topics in drug development, precision medicine, and healthcare. · Elaborates on supervised, unsupervised, reinforcement, and evolutionary learning methods. · Introduces the similarity principle and related AI methods for both big and small data problems. · Offers a balance of statistical and algorithm-based approaches to AI. · Provides examples and real-world applications with hands-on R code. · Suggests the path forward for AI in medicine and artificial general intelligence. As well as covering the history of AI and the innovative ideas, methodologies and software implementation of the field, the book offers a comprehensive review of AI applications in medical sciences. In addition, readers will benefit from hands on exercises, with included R code.

Symposium On Artificial Intelligence Book PDF
✏Book Title : Symposium on Artificial Intelligence
✏Author :
✏Publisher :
✏Release Date : 2018
✏Pages : 23
✏ISBN : 1988886333
✏Available Language : English, Spanish, And French

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✏Symposium on Artificial Intelligence Book Summary :

Machine Learning Advanced Dynamic Omics Data Analysis For Precision Medicine Book PDF
✏Book Title : Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine
✏Author : Tao Zeng
✏Publisher : Frontiers Media SA
✏Release Date : 2020-03-30
✏Pages :
✏ISBN : 9782889635542
✏Available Language : English, Spanish, And French

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✏Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine Book Summary :

📒Frontiers In Psychiatry ✍ Yong-Ku Kim

Frontiers In Psychiatry Book PDF
✏Book Title : Frontiers in Psychiatry
✏Author : Yong-Ku Kim
✏Publisher : Springer Nature
✏Release Date : 2019-11-09
✏Pages : 641
✏ISBN : 9789813297210
✏Available Language : English, Spanish, And French

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✏Frontiers in Psychiatry Book Summary : This book reviews key recent advances and new frontiers within psychiatric research and clinical practice. These advances either represent or are enabling paradigm shifts in the discipline and are influencing how we observe, derive and test hypotheses, and intervene. Progress in information technology is allowing the collection of scattered, fragmented data and the discovery of hidden meanings from stored data, and the impacts on psychiatry are fully explored. Detailed attention is also paid to the applications of artificial intelligence, machine learning, and data science technology in psychiatry and to their role in the development of new hypotheses, which in turn promise to lead to new discoveries and treatments. Emerging research methods for precision medicine are discussed, as are a variety of novel theoretical frameworks for research, such as theoretical psychiatry, the developmental approach to the definition of psychopathology, and the theory of constructed emotion. The concluding section considers novel interventions and treatment avenues, including psychobiotics, the use of neuromodulation to augment cognitive control of emotion, and the role of the telomere-telomerase system in psychopharmacological interventions.

Artificial Intelligence In Precision Health Book PDF
✏Book Title : Artificial Intelligence in Precision Health
✏Author : Debmalya Barh
✏Publisher : Academic Press
✏Release Date : 2020-03-04
✏Pages : 544
✏ISBN : 9780128173381
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence in Precision Health Book Summary : Artificial Intelligence in Precision Health: From Concept to Applications provides a readily available resource to understand artificial intelligence and its real time applications in precision medicine in practice. Written by experts from different countries and with diverse background, the content encompasses accessible knowledge easily understandable for non-specialists in computer sciences. The book discusses topics such as cognitive computing and emotional intelligence, big data analysis, clinical decision support systems, deep learning, personal omics, digital health, predictive models, prediction of epidemics, drug discovery, precision nutrition and fitness. Additionally, there is a section dedicated to discuss and analyze AI products related to precision healthcare already available. This book is a valuable source for clinicians, healthcare workers, and researchers from diverse areas of biomedical field who may or may not have computational background and want to learn more about the innovative field of artificial intelligence for precision health. Provides computational approaches used in artificial intelligence easily understandable for non-computer specialists Gives know-how and real successful cases of artificial intelligence approaches in predictive models, modeling disease physiology, and public health surveillance Discusses the applicability of AI on multiple areas, such as drug discovery, clinical trials, radiology, surgery, patient care and clinical decision support

Artificial Intelligence In Precision Health Book PDF
✏Book Title : Artificial Intelligence in Precision Health
✏Author : Debmalya Barh
✏Publisher : Academic Press
✏Release Date : 2020-01-24
✏Pages : 500
✏ISBN : 0128171332
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence in Precision Health Book Summary : Artificial Intelligence in Precision Health: From Concept to Applications provides a readily available resource to understand artificial intelligence and its real time applications in precision medicine in practice. Written by experts from different countries and with diverse background, the content encompasses accessible knowledge easily understandable for non-specialists in computer sciences. The book discusses topics such as cognitive computing and emotional intelligence, big data analysis, clinical decision support systems, deep learning, personal omics, digital health, predictive models, prediction of epidemics, drug discovery, precision nutrition and fitness. Additionally, there is a section dedicated to discuss and analyse AI products related to precision healthcare already available. This book is a valuable source for clinicians, healthcare workers, and researchers from diverse areas of biomedical field who may or may not have computational background and want to learn more about the innovative field of artificial intelligence for precision health Provides computational approaches used in artificial intelligence easily understandable for non-computer specialists Gives know-how and real successful cases of artificial intelligence approaches in predictive models, modelling disease physiology, and public health surveillance Discusses the applicability of AI on multiple areas, such as drug discovery, clinical trials, radiology, surgery, patient care, and clinical decision support

📒Precision Health And Medicine ✍ Arash Shaban-Nejad

Precision Health And Medicine Book PDF
✏Book Title : Precision Health and Medicine
✏Author : Arash Shaban-Nejad
✏Publisher : Springer
✏Release Date : 2019-08-01
✏Pages : 197
✏ISBN : 9783030244095
✏Available Language : English, Spanish, And French

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✏Precision Health and Medicine Book Summary : This book highlights the latest advances in the application of artificial intelligence to healthcare and medicine. It gathers selected papers presented at the 2019 Health Intelligence workshop, which was jointly held with the Association for the Advancement of Artificial Intelligence (AAAI) annual conference, and presents an overview of the central issues, challenges, and potential opportunities in the field, along with new research results. By addressing a wide range of practical applications, the book makes the emerging topics of digital health and precision medicine accessible to a broad readership. Further, it offers an essential source of information for scientists, researchers, students, industry professionals, national and international public health agencies, and NGOs interested in the theory and practice of digital and precision medicine and health, with an emphasis on risk factors in connection with disease prevention, diagnosis, and intervention.

Compassionate Artificial Intelligence Book PDF
✏Book Title : Compassionate Artificial Intelligence
✏Author : Amit Ray
✏Publisher : Compassionate AI Lab (An Imprint of Inner Light Publishers)
✏Release Date : 2018-10-03
✏Pages : 160
✏ISBN : 9789382123460
✏Available Language : English, Spanish, And French

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✏Compassionate Artificial Intelligence Book Summary : In this book Dr. Amit Ray describes the principles, algorithms and frameworks for incorporating compassion, kindness and empathy in machine. This is a milestone book on Artificial Intelligence. Compassionate AI address the issues for creating solutions for some of the challenges the humanity is facing today, like the need for compassionate care-giving, helping physically and mentally challenged people, reducing human pain and diseases, stopping nuclear warfare, preventing mass destruction weapons, tackling terrorism and stopping the exploitation of innocent citizens by monster governments through digital surveillance. The book also talks about compassionate AI for precision medicine, new drug discovery, education, and legal system. Dr. Ray explained the DeepCompassion algorithms, five design principles and eleven key behavioral principle of compassionate AI systems. The book also explained several compassionate AI projects. Compassionate AI is the best practical guide for AI students, researchers, entrepreneurs, business leaders looking to get true value from the adoption of compassion in machine learning technology.

Artificial Intelligence In Healthcare Book PDF
✏Book Title : Artificial Intelligence in Healthcare
✏Author : Adam Bohr
✏Publisher : Academic Press
✏Release Date : 2020-06-21
✏Pages : 378
✏ISBN : 9780128184394
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence in Healthcare Book Summary : Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Machine Learning In Cardiovascular Medicine Book PDF
✏Book Title : Machine Learning in Cardiovascular Medicine
✏Author : Subhi J. Al'Aref
✏Publisher : Academic Press
✏Release Date : 2020-11-20
✏Pages : 454
✏ISBN : 9780128202746
✏Available Language : English, Spanish, And French

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✏Machine Learning in Cardiovascular Medicine Book Summary : Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer scientists and engineers in evaluating current and future impact of machine learning on cardiovascular medicine. Provides an overview of machine learning, both for a clinical and engineering audience Summarize recent advances in both cardiovascular medicine and artificial intelligence Discusses the advantages of using machine learning for outcomes research and image processing Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach

Deep Learning For Precision Diagnosis Surgery Book PDF
✏Book Title : Deep Learning for Precision Diagnosis Surgery
✏Author : Vivek S. Jagadale
✏Publisher : Notion Press
✏Release Date : 2020-04-15
✏Pages : 96
✏ISBN : 9781648056987
✏Available Language : English, Spanish, And French

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✏Deep Learning for Precision Diagnosis Surgery Book Summary : Artificial intelligence, smart applications, and virtual assistants are now revolutionizing every area of our lives, including healthcare delivery. This book introduces readers to the latest technological advances in the emerging field of augmented clinical care, machine learning for early diagnosis, and artificial intelligence-assisted precision surgery with orthopedics as a leading example. The applications of these techniques in orthopedic interventions offer many potential benefits, e.g., early diagnosis of elusive complications, precise templating and planning of surgery, systematic execution of the original plan with maximum accuracy, facilitating minimally invasive surgery and improving outcomes. This book is a valuable resource for all healthcare researchers, AI-based software developers and clinicians, on what is needed and what to expect to excel in the future of high-quality patient care. It also outlines why physicians must play a pivotal role in the development of these AI-based applications that will plainly define the future of personalized and cost-effective healthcare delivery for maximum patient safety and satisfaction. May the miracle you need be just around the corner.

Handbook Of Biomarkers And Precision Medicine Book PDF
✏Book Title : Handbook of Biomarkers and Precision Medicine
✏Author : Claudio Carini
✏Publisher : CRC Press
✏Release Date : 2019-04-16
✏Pages : 631
✏ISBN : 9780429576737
✏Available Language : English, Spanish, And French

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✏Handbook of Biomarkers and Precision Medicine Book Summary : "The field of Biomarkers and Precision Medicine in drug development is rapidly evolving and this book presents a snapshot of exciting new approaches. By presenting a wide range of biomarker applications, discussed by knowledgeable and experienced scientists, readers will develop an appreciation of the scope and breadth of biomarker knowledge and find examples that will help them in their own work." -Maria Freire, Foundation for the National Institutes of Health Handbook of Biomarkers and Precision Medicine provides comprehensive insights into biomarker discovery and development which has driven the new era of Precision Medicine. A wide variety of renowned experts from government, academia, teaching hospitals, biotechnology and pharmaceutical companies share best practices, examples and exciting new developments. The handbook aims to provide in-depth knowledge to research scientists, students and decision makers engaged in Biomarker and Precision Medicine-centric drug development. Features: Detailed insights into biomarker discovery, validation and diagnostic development with implementation strategies Lessons-learned from successful Precision Medicine case studies A variety of exciting and emerging biomarker technologies The next frontiers and future challenges of biomarkers in Precision Medicine Claudio Carini, Mark Fidock and Alain van Gool are internationally recognized as scientific leaders in Biomarkers and Precision Medicine. They have worked for decades in academia and pharmaceutical industry in EU, USA and Asia. Currently, Dr. Carini is Honorary Faculty at Kings’s College School of Medicine, London, UK. Dr. Fidock is Vice President of Precision Medicine Laboratories at AstraZeneca, Cambridge, UK. Prof.dr. van Gool is Head Translational Metabolic Laboratory at Radboud university medical school, Nijmegen, NL.

Artificial Intelligence And Deep Learning In Pathology E Book Book PDF
✏Book Title : Artificial Intelligence and Deep Learning in Pathology E Book
✏Author : Stanley Cohen
✏Publisher : Elsevier Health Sciences
✏Release Date : 2020-06-02
✏Pages : 288
✏ISBN : 9780323675376
✏Available Language : English, Spanish, And French

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✏Artificial Intelligence and Deep Learning in Pathology E Book Book Summary : Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial intelligence (AI), are transforming pattern recognition and image interpretation for diagnosis and prognosis. Yet most pathologists have just a passing knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general and pathology in particular. In Artificial Intelligence and Deep Learning in Pathology, Dr. Stanley Cohen covers the nuts and bolts of all aspects of machine learning, up to and including AI, bringing familiarity and understanding to pathologists at all levels of experience. Focuses heavily on applications in medicine, especially pathology, making unfamiliar material accessible and avoiding complex mathematics whenever possible. Covers digital pathology as a platform for primary diagnosis and augmentation via deep learning, whole slide imaging for 2D and 3D analysis, and general principles of image analysis and deep learning. Discusses and explains recent accomplishments such as algorithms used to diagnose skin cancer from photographs, AI-based platforms developed to identify lesions of the retina, using computer vision to interpret electrocardiograms, identifying mitoses in cancer using learning algorithms vs. signal processing algorithms, and many more.

Genetics And Genomics Of Eye Disease Book PDF
✏Book Title : Genetics and Genomics of Eye Disease
✏Author : Xiaoyi Raymond Gao
✏Publisher : Academic Press
✏Release Date : 2019-09-12
✏Pages : 383
✏ISBN : 9780128167274
✏Available Language : English, Spanish, And French

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✏Genetics and Genomics of Eye Disease Book Summary : Genetics and Genomics of Eye Disease: Advancing to Precision Medicine thoroughly examines the latest genomics methods for studying eye disease, including complex eye disorders associated with multiple genes. GWAS, WES, WGS, RNA-sequencing, and transcriptome analysis as employed in ocular genomics are discussed in-depth, as are genomics findings tied to early-onset glaucoma, strabismus, age-related macular degeneration, adult-onset glaucoma, diabetic retinopathy, keratoconus, and leber congenital amaurosis, among other diseases. Research and clinical specialists offer guidance on conducting preventative screenings and counseling patients, as well as the promise of machine learning, computational statistics and artificial intelligence in advancing ocular genomics research. Offers thorough guidance on conducting genetic and genomic studies of eye disease Examines the genetic basis of a wide range of complex eye diseases and single-gene and Mendelian disorders Discusses the application of genetic testing and genetic risk prediction in eye disease diagnosis and patient counseling

Precision Medicine For Autoimmune Diseases Book PDF
✏Book Title : Precision Medicine for Autoimmune Diseases
✏Author : Georg Lautscham
✏Publisher : Academic Press
✏Release Date : 2020-09-01
✏Pages : 366
✏ISBN : 9780128227657
✏Available Language : English, Spanish, And French

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✏Precision Medicine for Autoimmune Diseases Book Summary : Autoimmune diseases have significant economic and social impacts and represent the second-most important market for pharmaceutical companies, which is unsurprising when you consider that, while 1 in 33 American will suffer from cancer, 1 in 22 Americans will suffer from an autoimmune disease, costing the US over $ 100 billion a year. However, the uptake of precision medicine in this area has been slow at best, even though it can be extremely difficult to accurately diagnose and treat patients effectively using the tools that are currently available. If the adoption of precision medicine is to truly gather pace among diseases outside of cancer, there are still several regulatory, technological, and funding-related hurdles to be overcome. Taking lessons learned from within the field of oncology and systematically applying them to areas such as autoimmune disease will enable the development of more effective drugs across a wider range of illnesses. Most importantly, this will lead to a better outcome for patients. Precision Medicine for Autoimmune Diseases summarizes the status, the ongoing activities and provides an outlook to the future. Addresses the fact that only one drug to treat autoimmune diseases was approved by FDA Shows the need to pick up and establish the need of personalized and precision medicine for autoimmune diseases Provides insight on how novel therapies, novel diagnostics and artificial intelligence work better together to advance the field of precision medicine in Autoimmune diseases Helps to establish a precision medicine approach for the benefit of patients, payers and industry

Precision Medicine In Cancer Therapy Book PDF
✏Book Title : Precision Medicine in Cancer Therapy
✏Author : Daniel D. Von Hoff
✏Publisher : Springer
✏Release Date : 2019-06-17
✏Pages : 283
✏ISBN : 9783030163914
✏Available Language : English, Spanish, And French

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✏Precision Medicine in Cancer Therapy Book Summary : This book presents the latest advances in precision medicine in some of the most common cancer types, including hematological, lung and breast malignancies. It also discusses emerging technologies that are making a significant impact on precision medicine in cancer therapy. In addition to describing specific approaches that have already entered clinical practice, the book explores new concepts and tools that are being developed. Precision medicine aims to deliver personalized healthcare tailored to a patient’s genetics, lifestyle and environment, and cancer therapy is one of the areas in which it has flourished in recent years. Documenting the latest advances, this book is of interest to physicians and clinical fellows in the front line of the war on cancer, as well as to basic scientists working in the fields of cancer biology, drug development, biomarker discovery, and biomedical engineering. The contributing authors include translational physicians with first-hand experience in precision patient care.

Ai For Medical Science And Well Being Book PDF
✏Book Title : AI for Medical Science and Well Being
✏Author : Mark Chang
✏Publisher :
✏Release Date : 2020-10
✏Pages : 133
✏ISBN : 9798693813618
✏Available Language : English, Spanish, And French

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✏AI for Medical Science and Well Being Book Summary : Artificial intelligence (AI) is transforming the practice of medicine. It is helping doctors diagnose patients more accurately, predict treatment effects on individuals, and recommend better treatments. AI is also transforming the drug discovery and development process, helping pharmaceutical researchers to identify and design active drug candidates, and reducing the cost of the clinical testing phase. Recently, the FDA moved toward a new, tailored review framework for artificial intelligence-based medical devices (Gottlieb, April 2019).This book is intended for a broad readership: sufficiently straightforward for college freshmen and informative enough for researchers. Chapter 1 gives a gentle introduction to the five ML categories of learning: supervised, unsupervised, reinforcement, evolutionary and swarm intelligence. Chapters 2 through 6 discuss the key concepts of the main methods in each of the five AI categories and their applications in pharmaceutical research & development and healthcare. Chapter 7 provides a state-of-the-art review of AI applications in prescription drug discovery, development, pharmacovigilance, and healthcare. Chapter 8 discusses artificial general intelligence and its controversies, challenges, and likely future directions. A few equations are included to effectively deliver key concepts and 100 key references are cited to meet researchers' needs. The book is a simplified version of my previous book: Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare. Readers who want to get hands on experiences may explore the book with computer code in R.

Ai For Drug Development And Well Being Book PDF
✏Book Title : AI for Drug Development and Well being
✏Author : Mark Chang
✏Publisher :
✏Release Date : 2020-09-09
✏Pages : 134
✏ISBN : 9798684518881
✏Available Language : English, Spanish, And French

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✏AI for Drug Development and Well being Book Summary : Artificial intelligence (AI) is transforming the practice of medicine. It is helping doctors diagnose patients more accurately, predict treatment effects on individuals, and recommend better treatments. AI is also transforming the drug discovery and development process, helping pharmaceutical researchers to identify and design active drug candidates, and reducing the cost of the clinical testing phase. Recently, the FDA moved toward a new, tailored review framework for artificial intelligence-based medical devices (Gottlieb, April 2019).This book is intended for a broad readership: sufficiently straightforward for college freshmen and informative enough for researchers. Chapter 1 gives a gentle introduction to the five ML categories of learning: supervised, unsupervised, reinforcement, evolutionary and swarm intelligence. Chapters 2 through 6 discuss the key concepts of the main methods in each of the five AI categories and their applications in pharmaceutical research & development and healthcare. Chapter 7 provides a state-of-the-art review of AI applications in prescription drug discovery, development, pharmacovigilance, and healthcare. Chapter 8 discusses artificial general intelligence and its controversies, challenges, and likely future directions. A few equations are included to effectively deliver key concepts and 100 key references are cited to meet researchers' needs. The book is a simplified version of my previous book: Artificial Intelligence for Drug Development, Precision Medicine, and Healthcare. Readers who want to get hands on experiences may explore the book with computer code in R.

Automated Reasoning For Systems Biology And Medicine Book PDF
✏Book Title : Automated Reasoning for Systems Biology and Medicine
✏Author : Pietro Liò
✏Publisher : Springer
✏Release Date : 2019-06-11
✏Pages : 474
✏ISBN : 9783030172978
✏Available Language : English, Spanish, And French

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✏Automated Reasoning for Systems Biology and Medicine Book Summary : This book presents outstanding contributions in an exciting, new and multidisciplinary research area: the application of formal, automated reasoning techniques to analyse complex models in systems biology and systems medicine. Automated reasoning is a field of computer science devoted to the development of algorithms that yield trustworthy answers, providing a basis of sound logical reasoning. For example, in the semiconductor industry formal verification is instrumental to ensuring that chip designs are free of defects (or “bugs”). Over the past 15 years, systems biology and systems medicine have been introduced in an attempt to understand the enormous complexity of life from a computational point of view. This has generated a wealth of new knowledge in the form of computational models, whose staggering complexity makes manual analysis methods infeasible. Sound, trusted, and automated means of analysing the models are thus required in order to be able to trust their conclusions. Above all, this is crucial to engineering safe biomedical devices and to reducing our reliance on wet-lab experiments and clinical trials, which will in turn produce lower economic and societal costs. Some examples of the questions addressed here include: Can we automatically adjust medications for patients with multiple chronic conditions? Can we verify that an artificial pancreas system delivers insulin in a way that ensures Type 1 diabetic patients never suffer from hyperglycaemia or hypoglycaemia? And lastly, can we predict what kind of mutations a cancer cell is likely to undergo? This book brings together leading researchers from a number of highly interdisciplinary areas, including: · Parameter inference from time series · Model selection · Network structure identification · Machine learning · Systems medicine · Hypothesis generation from experimental data · Systems biology, systems medicine, and digital pathology · Verification of biomedical devices “This book presents a comprehensive spectrum of model-focused analysis techniques for biological systems ...an essential resource for tracking the developments of a fast moving field that promises to revolutionize biology and medicine by the automated analysis of models and data.”Prof Luca Cardelli FRS, University of Oxford

1 Use Of Artificial Intelligence To Predict Volume Of Brain And Infarction Growth Rate A Step Towards Precision Medicine Book PDF
✏Book Title : 1 USE OF ARTIFICIAL INTELLIGENCE TO PREDICT VOLUME OF BRAIN AND INFARCTION GROWTH RATE A STEP TOWARDS PRECISION MEDICINE
✏Author : Saadat Kamran
✏Publisher :
✏Release Date : 2017
✏Pages :
✏ISBN : OCLC:1163808084
✏Available Language : English, Spanish, And French

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✏1 USE OF ARTIFICIAL INTELLIGENCE TO PREDICT VOLUME OF BRAIN AND INFARCTION GROWTH RATE A STEP TOWARDS PRECISION MEDICINE Book Summary : Background: Background. The final human brain infarction volume [IV] and infarction growth rate [IGR] are strong predictors of clinical outcome. IGR is dynamic with wide variations in speed of growth. The conventional mathematical techniques are unable to predict IV and IGR.Patients and Methods: In this, single-center, prospective study data was collected on all acute stroke patients treated by intravenous thrombolysis and/or mechanical thrombectomy between January 2014 and December 2016.Infarct Growth Rate calculation [IGR]. Infarct volumes were measured on the baseline and 24-hour CT. For IGR calculation we assumed the stroke volume to be zero prior to stroke onset.Infarct growth rate 1[IGR1] = u0394 volume (IV CT1u20130)/u0394 time (time CT1- stroke onset time)Second infarct growth rate [IGR2] was measured on second CT [CT2]IGR2 = u0394 volume/ u0394 time = (IV CT2- IV CT1)/ (time CT2-time CT1).To quantify the difference between the estimated IGR and actual IGR mean square error [MSE] was usedufffdufffdufffdufffdufffdufffd=1/ufffdufffd u2211128_(ufffdufffd=0)^(ufffdufffdu22121)u2592(u3016ufffdufffdufffdufffdufffdufffdu3017_(u3016ufffdufffdufffdufffdufffdufffdufffdufffdufffdufffdufffdufffdu3017_ufffdufffd )u2212u3016ufffdufffdufffdufffdufffdufffdu3017_(u3016ufffdufffdufffdufffdufffdufffdufffdufffdufffdufffdufffdufffdufffdufffdufffdufffdufffdufffdu3017_ufffdufffd ) )^2ResultsA total of 134 consecutive patients with an acute ischemic infarction secondary to middle cerebral artery occlusion were treated with a mean time to treatment from symptom onset of 213.27 +/- 227.12 minutes. A bivariate analysis showed the clot burden score [p=0.003], and time to treatment [p=0.78] was negatively/inversely correlated with IGR, while IGR 1 positively correlated with IGR2 [p=0.067]. The IGR2 was significantly higher when the collateral circulation score was low compared to a high score [p=0.001]. An unfavourable modified treatment in cerebral infarction (mTICI) score had a significantly higher IGR2 compared to those who had a favourable mTICI score [p=0.035] (Table 2 methods section). The demographics, clinical and radiological details are provided in the methods section [Table 2 methods section]. A comparison of ANFIS training and testing data [Table 3, methods section] showed no statistically significant difference except better collateral score [p=0.024] in the testing group with lower IGR2 [p=0.03]. The ANFIS based model was able to predict the IGR2 and infarction volume, calculated from the predicted IGR 2, without any statistically significant difference compared to the original data [p=0.001] [Figure 1, Table 2]. The mean square error was 8.95% with an accuracy of 91.05%. In addition, ANFIS-predicted values were in agreement with the original data as shown by skewness, cross-correlation and Cosine Similarity [Table 2].Conclusions : We showed an ANFIS based model to predict second brain IV [IV2] and second IGR [IGR2] depending on first imaging study, using prospectively collected data of acute stroke patients. The model predicted the IGR2 and IV2 without any significant difference to the original data [p=0.001]. We achieved an accuracy of 91.05% in predicting IV2 and IGR2 by combining demographic, clinical and radiological data and then applying ANFIS. Our study has the potential to help in more effective patient selection for treatment, particular therapies like extended hours thrombectomy and hemicraniectomy for malignant brain strokes and predict outcome in ischemic stroke, a step towards precision medicine.

Machine Intelligence For Healthcare Book PDF
✏Book Title : Machine Intelligence for Healthcare
✏Author : Francis X. Campion
✏Publisher :
✏Release Date : 2017-02-02
✏Pages : 346
✏ISBN : 1542924944
✏Available Language : English, Spanish, And French

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✏Machine Intelligence for Healthcare Book Summary : Machine Intelligence for Healthcare is a must read for physician leaders, health insurance executives, clinical researchers, public health officials, data scientists and software engineers seeking to understand this pivotal innovation in the information revolution in healthcare. MI for Healthcare provides a detailed introduction of Machine Intelligence, then takes the reader on a journey through the basics of machine learning, topological data analysis and applications of machine intelligence software for healthcare and life sciences. Over 20 case studies cover topics related to clinical variation analysis, hospital clinical pathways, population health management, genetic analysis, precision medicine, healthcare revenue cycle, and payment integrity. The book includes a detailed introduction of the mathematics of topology and concepts of machine learning algorithms. This provides an understanding for the central role which machine intelligence software is now playing in the emergence of the "learning healthcare system" and success in the new world of value-based healthcare delivery.

📒Digital Medicine ✍ Arthur André

Digital Medicine Book PDF
✏Book Title : Digital Medicine
✏Author : Arthur André
✏Publisher : Springer
✏Release Date : 2018-12-13
✏Pages : 110
✏ISBN : 9783319982168
✏Available Language : English, Spanish, And French

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✏Digital Medicine Book Summary : This book provides an up to date user friendly resource on the emerging field of digital medicine and its present and potential future role in modern healthcare. Chapters are written by a specialist on each area in an easy to read format, which broadly covers the potential of digital medicine in epidemiology, precision medicine and surgery. Chapters focus on aspects of telemedicine, the applications of big data, artificial intelligence, blockchain, regenerative medicine, legal aspects and business models. Furthermore, guidance is given on medical ethics and how to manage doctor patient relationships in the modern age. Digital Medicine comprehensively reviews the emerging field of digital medicine in modern healthcare and is therefore a critical resource for physicians and medical trainees who are looking for comprehensive resource on digital medicine and its potential role in modern healthcare.

Next Generation Technology Driven Precission Medicine And Smart Healthcare Book PDF
✏Book Title : Next Generation Technology Driven Precission Medicine and Smart Healthcare
✏Author : Miltiadis D. Lytras
✏Publisher : Academic Press
✏Release Date : 2020-09-01
✏Pages : 380
✏ISBN : 9780128220627
✏Available Language : English, Spanish, And French

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✏Next Generation Technology Driven Precission Medicine and Smart Healthcare Book Summary : Next Generation Technology Driven Precission Medicine and Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers

Precision Medicine Powered By Phealth And Connected Health Book PDF
✏Book Title : Precision Medicine Powered by pHealth and Connected Health
✏Author : Nicos Maglaveras
✏Publisher : Springer
✏Release Date : 2017-11-16
✏Pages : 269
✏ISBN : 9789811074196
✏Available Language : English, Spanish, And French

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✏Precision Medicine Powered by pHealth and Connected Health Book Summary : This volume presents the proceedings of the 3rd ICBHI which took place in Thessaloniki on 18-21 November, 2017.The area of biomedical and health informatics is exploding at all scales. The developments in the areas of medical devices, eHealth and personalized health as enabling factors for the evolution of precision medicine are quickly developing and demand the development of new scaling tools, integration frameworks and methodologies.

Application Of Omics Ai And Blockchain In Bioinformatics Research Book PDF
✏Book Title : Application Of Omics Ai And Blockchain In Bioinformatics Research
✏Author : Tsai Jeffrey J P
✏Publisher : World Scientific
✏Release Date : 2019-10-14
✏Pages : 208
✏ISBN : 9789811203596
✏Available Language : English, Spanish, And French

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✏Application Of Omics Ai And Blockchain In Bioinformatics Research Book Summary : With the increasing availability of omics data and mounting evidence of the usefulness of computational approaches to tackle multi-level data problems in bioinformatics and biomedical research in this post-genomics era, computational biology has been playing an increasingly important role in paving the way as basis for patient-centric healthcare.Two such areas are: (i) implementing AI algorithms supported by biomedical data would deliver significant benefits/improvements towards the goals of precision medicine (ii) blockchain technology will enable medical doctors to securely and privately build personal healthcare records, and identify the right therapeutic treatments and predict the progression of the diseases.A follow-up in the publication of our book Computation Methods with Applications in Bioinformatics Analysis (2017), topics in this volume include: clinical bioinformatics, omics-based data analysis, Artificial Intelligence (AI), blockchain, big data analytics, drug discovery, RNA-seq analysis, tensor decomposition and Boolean network.

Bioscience Lost In Translation  Book PDF
✏Book Title : Bioscience Lost in Translation
✏Author : Richard Barker
✏Publisher : Oxford University Press
✏Release Date : 2016-09-01
✏Pages : 240
✏ISBN : 9780198737780
✏Available Language : English, Spanish, And French

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✏Bioscience Lost in Translation Book Summary : Medical innovation as it stands today is fundamentally unsustainable. There is a widening gap between what biomedical research promises and the impact that it is currently achieving, in terms of patient benefit and health system improvement. This book highlights the global problem of the ineffective translation of bioscience innovation into health system improvements and its consequences, analyses the underlying causative factors and provides powerful prescriptions for change to close the gap. It contrasts the progress in biomedicine with other areas of scientific and technological endeavour, such as information technology, in which there are faster and more reliable returns for society from scientific advance. It asks searching questions about whether society is right to expect so much from biomedicine and why we have become accustomed to such poor returns. Throughout the book, techniques such as stratified medicine, open innovation, adaptive development and personalised adherence are discussed and described in terms accessible to the non-specialist, and their impact on the innovation gap explored. By using examples in which bottlenecks have prevented progress, such as dementia and antibiotic-resistant infections, and in which these barriers have been overcome, such as HIV treatment, Bioscience - Lost in Translation? lays out a strategy for advancing the innovation process, presenting suggestions for how health systems can move from being passive recipients of innovation to being active participants in development.

Big Data In Cardiology Predicting Preventing And Managing Diseases Book PDF
✏Book Title : Big Data in Cardiology Predicting Preventing and Managing Diseases
✏Author : Bikal Dhungel
✏Publisher : GRIN Verlag
✏Release Date : 2020-10-28
✏Pages : 59
✏ISBN : 9783346284372
✏Available Language : English, Spanish, And French

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✏Big Data in Cardiology Predicting Preventing and Managing Diseases Book Summary : Master's Thesis from the year 2020 in the subject Health - Health Sciences - Health Logistics, grade: 1,7, Linnaeus University (School of Informatics), course: Information Systems, language: English, abstract: This study was conducted to analyze this process closer focusing on a case of Cardiology. Conducting a comprehensive literature review and qualitative expert interviews, the impact of big data in the field of Cardiology was explored. The result of the study shows that big data can play a positive role in three aspects: prediction of disease, prevention of disease and management of disease. Big data enables us to build models that can be used to predict the occurrence of disease. Based on this information, actions can be taken to prevent the disease. Data also helps to manage the disease by offering helpful insights. Medical personnel can retrieve the patient data, with the help of AI, they can make faster decisions allowing them to spend more quality time with the patients and reduce cognitive errors. Through the interviews, it was understood that even though the positive role of big data has been acknowledged, the implementation is still a challenge due to various limitations. The challenges lie mainly on technical know-how and domain knowledge. Further challenges were data security and privacy issues that need to be addressed to mitigate the risks that can be caused by them. The examples of big data implementation in various cases like in heart failure prediction or prevention shows a positive picture. The overwhelming majority of case studies analyzed in this regard show an optimistic picture. Due to growing importance and use of smart devices, IoT, genomics and the recent developments in the field of ICTs, it is expected that big data will not only leave a positive influence on the field of Cardiology, it will also change the way medicine is practiced and healthcare is offered. The statement ‘Data is the new oil’ has been broadly acknowledged due to its wide-ranging importance. Utilizing big data offers a variety of benefits. Although the health sector was late in terms of exploiting the benefits of big data, currently, the adoption is accelerating. Healthcare is increasingly becoming an information science and the implementation of electronic medical records (EMR) and other information systems is growing rapidly. The patient data originating from smart devices and other sources like genomic databases are supporting the healthcare sector offering better healthcare delivery and increasing efficiency, hence saving costs.

📒Ai First Healthcare ✍ KERRIE. BECKER M.D. HOLLEY (SIUPO.)

Ai First Healthcare Book PDF
✏Book Title : AI First Healthcare
✏Author : KERRIE. BECKER M.D. HOLLEY (SIUPO.)
✏Publisher : O'Reilly Media
✏Release Date : 2021-03-16
✏Pages : 250
✏ISBN : 1492063150
✏Available Language : English, Spanish, And French

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✏AI First Healthcare Book Summary : AI is poised to transform every aspect of healthcare, including the way we manage personal health from customer experience and clinical care to healthcare cost reductions. This practical book is one of the first to describe present and future use cases where AI can help solve pernicious healthcare problems. Kerrie Holley and Siupo Becker provide guidance to help informatics and healthcare leadership create AI strategy and implementation plans for healthcare. With this book, business stakeholders and practitioners will be able to build knowledge, a road map, and the confidence to support AI in their organizations--without getting into the weeds of algorithms or open source frameworks. Cowritten by an AI technologist and a medical doctor who leverages AI to solve healthcare's most difficult challenges, this book covers: The myths and realities of AI, now and in the future Human-centered AI: what it is and how to make it possible How to use various AI technologies to go beyond precision medicine Delivering patient care using the IoT and ambient computing with AI How AI can help reduce waste in healthcare AI strategy and identifying high-priority AI applications

Reinventing Clinical Decision Support Book PDF
✏Book Title : Reinventing Clinical Decision Support
✏Author : Paul Cerrato
✏Publisher : Taylor & Francis
✏Release Date : 2020-01-15
✏Pages : 166
✏ISBN : 9781000055559
✏Available Language : English, Spanish, And French

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✏Reinventing Clinical Decision Support Book Summary : This book takes an in-depth look at the emerging technologies that are transforming the way clinicians manage patients, while at the same time emphasizing that the best practitioners use both artificial and human intelligence to make decisions. AI and machine learning are explored at length, with plain clinical English explanations of convolutional neural networks, back propagation, and digital image analysis. Real-world examples of how these tools are being employed are also discussed, including their value in diagnosing diabetic retinopathy, melanoma, breast cancer, cancer metastasis, and colorectal cancer, as well as in managing severe sepsis. With all the enthusiasm about AI and machine learning, it was also necessary to outline some of criticisms, obstacles, and limitations of these new tools. Among the criticisms discussed: the relative lack of hard scientific evidence supporting some of the latest algorithms and the so-called black box problem. A chapter on data analytics takes a deep dive into new ways to conduct subgroup analysis and how it’s forcing healthcare executives to rethink the way they apply the results of large clinical trials to everyday medical practice. This re-evaluation is slowly affecting the way diabetes, heart disease, hypertension, and cancer are treated. The research discussed also suggests that data analytics will impact emergency medicine, medication management, and healthcare costs. An examination of the diagnostic reasoning process itself looks at how diagnostic errors are measured, what technological and cognitive errors are to blame, and what solutions are most likely to improve the process. It explores Type 1 and Type 2 reasoning methods; cognitive mistakes like availability bias, affective bias, and anchoring; and potential solutions such as the Human Diagnosis Project. Finally, the book explores the role of systems biology and precision medicine in clinical decision support and provides several case studies of how next generation AI is transforming patient care.