Artificial Intelligence Platform For Molecular Targeted Therapy A Translational Science Approach

Author : Ariel Fernandez
Publisher : World Scientific
Page : 469 pages
File Size : 45,7 Mb
Release : 2021-03-12
Category : Science
ISBN : 9789811232329

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Artificial Intelligence Platform For Molecular Targeted Therapy: A Translational Science Approach by Ariel Fernandez Pdf

In the era of big biomedical data, there are many ways in which artificial intelligence (AI) is likely to broaden the technological base of the pharmaceutical industry. Cheminformatic applications of AI involving the parsing of chemical space are already being implemented to infer compound properties and activity. By contrast, dynamic aspects of the design of drug/target interfaces have received little attention due to the inherent difficulties in dealing with physical phenomena that often do not conform to simplifying views.This book focuses precisely on dynamic drug/target interfaces and argues that the true game change in pharmaceutical discovery will come as AI is enabled to solve core problems in molecular biophysics that are intimately related to rational drug design and drug discovery.Here are a few examples to convey the flavor of our quest: How do we therapeutically impair a dysfunctional protein with unknown structure or regulation but known to be a culprit of disease? In regards to SARS-CoV-2, what is the structural impact of a dominant mutation?, how does the structure change translate into a fitness advantage?, what new therapeutic opportunity arises? How do we extend molecular dynamics simulations to realistic timescales, to capture the rare events associated with drug targeting in vivo? How do we control specificity in drug design to selectively remove side effects? This is the type of problems, directly related to the understanding of drug/target interfaces, that the book squarely addresses by leveraging a comprehensive AI-empowered approach.

Author : Ariel Fernández
Publisher : CRC Press
Page : 173 pages
File Size : 51,5 Mb
Release : 2023-08-24
Category : Computers
ISBN : 9781000925296

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Artificial Intelligence on Dark Matter and Dark Energy by Ariel Fernández Pdf

As we prod the cosmos at very large scales, basic tenets of physics seem to crumble under the weight of contradicting evidence. This book helps mitigate the crisis. It resorts to artificial intelligence (AI) for answers and describes the outcome of this quest in terms of an ur-universe, a quintessential compact multiply connected space that incorporates a fifth dimension to encode space-time as a latent manifold. In some ways, AI is bolder than humans because the huge corpus of knowledge, starting with the prodigious Standard Model (SM) of particle physics, poses almost no burden to its conjecture-framing processes. Why not feed AI with the SM enriched by the troubling cosmological phenomenology on dark matter and dark energy and see where AI takes us vis-à-vis reconciling the conflicting data with the laws of physics? This is precisely the intellectual adventure described in this book and – to the best of our knowledge – in no other book on the shelf. As the reader will discover, many AI conjectures and validations ultimately make a lot of sense, even if their boldness does not feel altogether "human" yet. This book is written for a broad readership. Prerequisites are minimal, but a background in college math/physics/computer science is desirable. This book does not merely describe what is known about dark matter and dark energy but also provides readers with intellectual tools to engage in a quest for the deepest cosmological mystery.

Author : Ariel Fernández
Publisher : CRC Press
Page : 198 pages
File Size : 49,7 Mb
Release : 2022-12-21
Category : Computers
ISBN : 9781000806472

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Topological Dynamics in Metamodel Discovery with Artificial Intelligence by Ariel Fernández Pdf

The leveraging of artificial intelligence (AI) for model discovery in dynamical systems is cross-fertilizing and revolutionizing both disciplines, heralding a new era of data-driven science. This book is placed at the forefront of this endeavor, taking model discovery to the next level. Dealing with artificial intelligence, this book delineates AI’s role in model discovery for dynamical systems. With the implementation of topological methods to construct metamodels, it engages with levels of complexity and multiscale hierarchies hitherto considered off limits for data science. Key Features: Introduces new and advanced methods of model discovery for time series data using artificial intelligence Implements topological approaches to distill "machine-intuitive" models from complex dynamics data Introduces a new paradigm for a parsimonious model of a dynamical system without resorting to differential equations Heralds a new era in data-driven science and engineering based on the operational concept of "computational intuition" Intended for graduate students, researchers, and practitioners interested in dynamical systems empowered by AI or machine learning and in their biological, engineering, and biomedical applications, this book will represent a significant educational resource for people engaged in AI-related cross-disciplinary projects.

Author : Ariel Fernández
Publisher : Cambridge Scholars Publishing
Page : 203 pages
File Size : 50,8 Mb
Release : 2023-08-30
Category : Science
ISBN : 9781527531185

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Querying Artificial Intelligence on the Dark Universe in a Quintessential Encoding of Space-time by Ariel Fernández Pdf

This book explores the possibility of the use of artificial intelligence (AI) to solve one of the cosmos’ biggest mysteries: the nature of undetectable forms of matter, namely dark matter and dark energy, which make up 95% of the universe. The book describes the outcome of this quest in terms of an entangled ur-universe that admits no observer, and incorporates an extra dimension to encode space-time as a latent manifold. A cosmic engine fueled by dark energy that maintains the topology of the universe during its expansion, involving autocatalytic vacuum creation, is identified. The physical picture of the cosmos presented in the book paves the way for a solution to the cosmological constant problem and provides a cogent explanation for the huge gap between the predicted and measured values that has troubled physicists for decades.

Author : Adam Bohr,Kaveh Memarzadeh
Publisher : Academic Press
Page : 385 pages
File Size : 53,8 Mb
Release : 2020-06-21
Category : Computers
ISBN : 9780128184394

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Artificial Intelligence in Healthcare by Adam Bohr,Kaveh Memarzadeh Pdf

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

Author : Nathan Brown
Publisher : Royal Society of Chemistry
Page : 425 pages
File Size : 54,5 Mb
Release : 2020-11-04
Category : Computers
ISBN : 9781839160547

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Artificial Intelligence in Drug Discovery by Nathan Brown Pdf

Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.

Author : Shai Ben- David,Giuseppe Curigliano,David Koff,Barbara Alicja Jereczek-Fossa,Davide La Torre,Gabriella Pravettoni
Publisher : Elsevier
Page : 296 pages
File Size : 46,6 Mb
Release : 2024-03-14
Category : Computers
ISBN : 9780443136726

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Artificial Intelligence for Medicine by Shai Ben- David,Giuseppe Curigliano,David Koff,Barbara Alicja Jereczek-Fossa,Davide La Torre,Gabriella Pravettoni Pdf

Artificial Intelligence for Medicine: An Applied Reference for Methods and Applications introduces readers to the methodology and AI/ML algorithms as well as cutting-edge applications to medicine, such as cancer, precision medicine, critical care, personalized medicine, telemedicine, drug discovery, molecular characterization, and patient mental health. Research in medicine and tailored clinical treatment are being quickly transformed by artificial intelligence (AI) and machine learning (ML). The content in this book is tailored to the reader's needs in terms of both type and fundamentals. It covers the current ethical issues and potential developments in this field. Artificial Intelligence for Medicine is beneficial for academics, professionals in the IT industry, educators, students, and anyone else involved in the use and development of AI in the medical field. Covers the basic concepts of Artificial Intelligence and Machine Learning, methods and practices, and advanced topics and applications to clinical and precision medicine Presents readers with an understanding of how AI is revolutionizing medicine by demonstrating the applications of computational intelligence to the field, along with an awareness of how AI can improve upon traditional medical structures Provides researchers, practitioners, and project stakeholders with a complete guide for applying AI techniques in their projects and solutions

Author : Ankur Choudhary,Arun Prakash Agrawal,Rajasvaran Logeswaran,Bhuvan Unhelkar
Publisher : Springer Nature
Page : 738 pages
File Size : 48,9 Mb
Release : 2021-07-27
Category : Computers
ISBN : 9789811630675

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Applications of Artificial Intelligence and Machine Learning by Ankur Choudhary,Arun Prakash Agrawal,Rajasvaran Logeswaran,Bhuvan Unhelkar Pdf

The book presents a collection of peer-reviewed articles from the International Conference on Advances and Applications of Artificial Intelligence and Machine Learning - ICAAAIML 2020. The book covers research in artificial intelligence, machine learning, and deep learning applications in healthcare, agriculture, business, and security. This volume contains research papers from academicians, researchers as well as students. There are also papers on core concepts of computer networks, intelligent system design and deployment, real-time systems, wireless sensor networks, sensors and sensor nodes, software engineering, and image processing. This book will be a valuable resource for students, academics, and practitioners in the industry working on AI applications.

Author : Michael Mahler
Publisher : Academic Press
Page : 300 pages
File Size : 54,9 Mb
Release : 2021-03-12
Category : Science
ISBN : 9780323854320

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Precision Medicine and Artificial Intelligence by Michael Mahler Pdf

Precision Medicine and Artificial Intelligence: The Perfect Fit for Autoimmunity covers background on artificial intelligence (AI), its link to precision medicine (PM), and examples of AI in healthcare, especially autoimmunity. The book highlights future perspectives and potential directions as AI has gained significant attention during the past decade. Autoimmune diseases are complex and heterogeneous conditions, but exciting new developments and implementation tactics surrounding automated systems have enabled the generation of large datasets, making autoimmunity an ideal target for AI and precision medicine. 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 datasets 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 gain an overview on precision medicine for autoimmune diseases leveraging AI solutions Provides background, milestone and examples of precision medicine Outlines the paradigm shift towards precision medicine driven by value-based systems Discusses future applications of precision medicine research using AI Other aspects covered in the book include regulatory insights, data analytics and visualization, types of biomarkers as well as the role of the patient in precision medicine

Author : Ariel Fernandez
Publisher : Springer Science & Business Media
Page : 230 pages
File Size : 42,5 Mb
Release : 2010-04-28
Category : Technology & Engineering
ISBN : 9783642117923

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Transformative Concepts for Drug Design: Target Wrapping by Ariel Fernandez Pdf

In spite of the enticing promises of the post-genomic era, the pharmaceutical world is in a state of disarray. Drug discovery seems now riskier and more uncertain than ever. Thus, projects get routinely terminated in mid-stage clinical trials, new targets are getting harder to find, and successful therapeutic agents are often recalled as unanticipated side effects are discovered. Exploiting the huge output of genomic studies to make safer drugs has proven to be much more difficult than anticipated. More than ever, the lead in the pharmaceutical industry depends on the ability to harness innovative research, and this type of innovation can only come from one source: fundamental knowledge. This book squarely addresses this crucial problem since it introduces fundamental discoveries in basic biomolecular research that hold potential to broaden the technological base of the pharmaceutical industry. The book takes a fresh and fundamental look at the problem of how to design an effective drug with controlled specificity. Since the novel transformative concepts are unfamiliar to most practitioners, the first part of this book explains matters very carefully starting from a fairly elementary physico-chemical level. The second part of the book is devoted to practical applications, aiming at nothing less than a paradigm shift in drug design. This book is addressed to scientists working at the cutting edge of research in the pharmaceutical industry, but the material is at the same time accessible to senior undergraduates or graduate students interested in drug discovery and molecular design.

Author : Anonim
Publisher : Academic Press
Page : 254 pages
File Size : 54,5 Mb
Release : 2021-05-13
Category : Business & Economics
ISBN : 9780323898904

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Translational Bioinformatics in Healthcare and Medicine by Anonim Pdf

Translational Bioinformatics in Healthcare and Medicine offers an overview of main principles of bioinformatics, biological databases, clinical informatics, health informatics, viroinformatics and real-case applications of translational bioinformatics in healthcare. Written by experts from both technology and clinical sides, the content brings together essential knowledge to make the best of recent advancements of the field. The book discusses topics such as next generation sequence analysis, genomics in clinical care, IoT applications, blockchain technology, patient centered interoperability of EHR, health data mining, and translational bioinformatics methods for drug discovery and drug repurposing. In addition, it discusses the role of bioinformatics in cancer research and viroinformatics approaches to counter viral diseases through informatics. This is a valuable resource for bioinformaticians, clinicians, healthcare professionals, graduate students and several members of biomedical field who are interested in learning more about how bioinformatics can impact in their research and practice. Covers recent advancements in translational bioinformatics and its healthcare applications Discusses integrative and multidisciplinary approaches to U-healthcare systems development and management Bridges the gap among various knowledge domains in the field, integrating both technological and clinical knowledge into practical content

Author : Nguyen, Tien V. T.,Vo, Nhut T. M.
Publisher : IGI Global
Page : 528 pages
File Size : 40,6 Mb
Release : 2024-01-10
Category : Computers
ISBN : 9798369306406

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Using Traditional Design Methods to Enhance AI-Driven Decision Making by Nguyen, Tien V. T.,Vo, Nhut T. M. Pdf

In the rapidly evolving landscape of industrial activities, artificial intelligence (AI) has emerged as a powerful force driving transformative change. Among its many applications, AI has proven to be instrumental in reducing processing costs associated with optimization challenges. The intersection of AI with optimization and multi-criteria decision making (MCDM) techniques has led to practical solutions in diverse fields such as manufacturing, transportation, finance, economics, and artificial intelligence. Using Traditional Design Methods to Enhance AI-Driven Decision Making delves into a wide array of topics related to optimization, decision-making, and their applications. Drawing on foundational contributions, system developments, and innovative techniques, the book explores the synergy between traditional design methods and AI-driven decision-making approaches. The book is ideal for higher education faculty and administrators, students of higher education, librarians, researchers, graduate students, and academicians. Contributors are invited to explore a wide range of topics, including the role of AI-driven decision-making in leadership, trends in AI-driven decision-making in Industry 5.0, applications in various industries such as manufacturing, transportation, healthcare, and banking services, as well as AI-driven optimization in mechanical engineering and materials.

Author : Farid A. Badria
Publisher : BoD – Books on Demand
Page : 236 pages
File Size : 41,7 Mb
Release : 2020-12-02
Category : Medical
ISBN : 9781839685200

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Drug Repurposing by Farid A. Badria Pdf

Drug repurposing or drug repositioning is a new approach to presenting new indications for common commercial and clinically approved existing drugs. For example, chloroquine, an old antimalarial drug, showed promising results for treating COVID-19, interfering with MDR in several types of cancer, and chemosensitizing human leukemic cells.This book focuses on the hypothesis, risk/benefits, and economic impacts of drug repurposing on drug discovery in dermatology, infectious diseases, neurological disorders, cancer, and orphan diseases. It brings together up-to-date research to provide readers with an informative, illustrative, and easy-to-read book useful for students, clinicians, and the pharmaceutical industry.

Author : Zhi-Liang Ji,Lixia Yao,Kartick Chandra Pramanik,Zhaohui John Cai
Publisher : Frontiers Media SA
Page : 129 pages
File Size : 50,6 Mb
Release : 2020-07-28
Category : Electronic
ISBN : 9782889638888

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Artificial Intelligence for Translational Pharmacology by Zhi-Liang Ji,Lixia Yao,Kartick Chandra Pramanik,Zhaohui John Cai Pdf

Author : Sulen Sarioglu,Ozgul Sagol,Anil Aysal
Publisher : Springer Nature
Page : 468 pages
File Size : 43,8 Mb
Release : 2022-01-01
Category : Medical
ISBN : 9783030844325

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Biomarkers in Carcinoma of Unknown Primary by Sulen Sarioglu,Ozgul Sagol,Anil Aysal Pdf

This book aims to examine all immunohistochemical and molecular pathological biomarkers that can be useful and effective in patient diagnosis, prognosis and treatment decision, especially when faced with a carcinoma of unknown primary. For this purpose, epithelial malignancies of all systems and related biomarkers are examined one by one, and to look at the subject through the metastatic regions window, biomarkers that can be used to determine the primary focus for carcinomas seen in the areas most frequently metastasized are emphasized. With this bi-directional perspective, the reader is able to find biomarkers of any type of carcinoma on a system basis, as well as access to which biomarkers can be used when faced with a metastatic carcinoma. The importance of biomarkers in patient follow-up and treatment is also conveyed through the clinician's eye, and so biomarkers are handled with a holistic approach in all aspects. This book primarily targets pathologists, as well as clinicians (oncologists and surgeons) who manage cancer patients.