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Ai And Data Science In Drug Development And Public Health Highlights From The Mcbios 2022 Conference


Ai And Data Science In Drug Development And Public Health Highlights From The Mcbios 2022 Conference
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Ai And Data Science In Drug Development And Public Health Highlights From The Mcbios 2022 Conference


Ai And Data Science In Drug Development And Public Health Highlights From The Mcbios 2022 Conference
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Author : Ramin Homayouni
language : en
Publisher: Frontiers Media SA
Release Date : 2023-03-27

Ai And Data Science In Drug Development And Public Health Highlights From The Mcbios 2022 Conference written by Ramin Homayouni and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-27 with Science categories.




Unleashing Innovation On Precision Public Health Highlights From The Mcbios Maqc 2021 Joint Conference


Unleashing Innovation On Precision Public Health Highlights From The Mcbios Maqc 2021 Joint Conference
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Author : Ramin Homayouni
language : en
Publisher: Frontiers Media SA
Release Date : 2022-07-07

Unleashing Innovation On Precision Public Health Highlights From The Mcbios Maqc 2021 Joint Conference written by Ramin Homayouni and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-07 with Science categories.




Advances In Computational Biology


Advances In Computational Biology
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Author : Hamid R. Arabnia
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-09-24

Advances In Computational Biology written by Hamid R. Arabnia and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-24 with Science categories.


Proceedings of The 2009 International Conference on Bioinformatics and Computational Biology in Las Vegas, NV, July 13-16, 2009. Recent advances in Computational Biology are covered through a variety of topics. Both inward research (core areas of computational biology and computer science) and outward research (multi-disciplinary, Inter-disciplinary, and applications) will be covered during the conferences. These include: Gene regulation, Gene expression databases, Gene pattern discovery and identification, Genetic network modeling and inference, Gene expression analysis, RNA and DNA structure and sequencing, Biomedical engineering, Microarrays, Molecular sequence and structure databases, Molecular dynamics and simulation, Molecular sequence classification, alignment and assembly, Image processing In medicine and biological sciences, Sequence analysis and alignment, Informatics and Statistics in Biopharmaceutical Research, Software tools for computational biology and bioinformatics, Comparative genomics; and more.



Who Wrote The Book Of Life


Who Wrote The Book Of Life
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Author : Lily E. Kay
language : en
Publisher: Stanford University Press
Release Date : 2000

Who Wrote The Book Of Life written by Lily E. Kay and has been published by Stanford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Science categories.


This is a detailed history of one of the most important and dramatic episodes in modern science, recounted from the novel vantage point of the dawn of the information age and its impact on representations of nature, heredity, and society. Drawing on archives, published sources, and interviews, the author situates work on the genetic code (1953-70) within the history of life science, the rise of communication technosciences (cybernetics, information theory, and computers), the intersection of molecular biology with cryptanalysis and linguistics, and the social history of postwar Europe and the United States. Kay draws out the historical specificity in the process by which the central biological problem of DNA-based protein synthesis came to be metaphorically represented as an information code and a writing technology—and consequently as a “book of life.” This molecular writing and reading is part of the cultural production of the Nuclear Age, its power amplified by the centuries-old theistic resonance of the “book of life” metaphor. Yet, as the author points out, these are just metaphors: analogies, not ontologies. Necessary and productive as they have been, they have their epistemological limitations. Deploying analyses of language, cryptology, and information theory, the author persuasively argues that, technically speaking, the genetic code is not a code, DNA is not a language, and the genome is not an information system (objections voiced by experts as early as the 1950s). Thus her historical reconstruction and analyses also serve as a critique of the new genomic biopower. Genomic textuality has become a fact of life, a metaphor literalized, she claims, as human genome projects promise new levels of control over life through the meta-level of information: control of the word (the DNA sequences) and its editing and rewriting. But the author shows how the humbling limits of these scriptural metaphors also pose a challenge to the textual and material mastery of the genomic “book of life.”



Epigenetics Methods


Epigenetics Methods
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Author : Trygve O. Tollefsbol
language : en
Publisher: Academic Press
Release Date : 2020-07-08

Epigenetics Methods written by Trygve O. Tollefsbol and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-08 with Medical categories.


In recent years, the field of epigenetics has grown significantly, driving new understanding of human developmental processes and disease expression, as well as advances in diagnostics and therapeutics. As the field of epigenetics continues to grow, methods and technologies have multiplied, resulting in a wide range of approaches and tools researchers might employ. Epigenetics Methods offers comprehensive instruction in methods, protocols, and experimental approaches applied in field of epigenetics. Here, across thirty-five chapters, specialists offer step-by-step overviews of methods used to study various epigenetic mechanisms, as employed in basic and translational research. Leading the reader from fundamental to more advanced methods, the book begins with thorough instruction in DNA methylation techniques and gene or locus-specific methylation analyses, followed by histone modification methods, chromatin evaluation, enzyme analyses of histone methylation, and studies of non-coding RNAs as epigenetic modulators. Recently developed techniques and technologies discussed include single-cell epigenomics, epigenetic editing, computational epigenetics, systems biology epigenetic methods, and forensic epigenetic approaches. Epigenetics methods currently in-development, and their implication for future research, are also considered in-depth. In addition, as with the wider life sciences, reproducibility across experiments, labs, and subdisciplines is a growing issue for epigenetics researchers. This volume provides consensus-driven methods instruction and overviews. Tollefsbol and contributing authors survey the range of existing methods; identify best practices, common themes, and challenges; and bring unity of approach to a diverse and ever-evolving field. - Includes contributions by leading international investigators involved in epigenetic research and clinical and therapeutic application - Integrates technology and translation with fundamental chapters on epigenetics methods, as well as chapters on more novel and advanced epigenetics methods - Written at verbal and technical levels that can be understood by scientists and students alike - Includes chapters on state-of-the-art techniques such as single-cell epigenomics, use of CRISPR/Cas9 for epigenetic editing, and epigenetics methods applied to forensics



Data Mining In Bioinformatics


Data Mining In Bioinformatics
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Author : Jason T. L. Wang
language : en
Publisher: Springer Science & Business Media
Release Date : 2005

Data Mining In Bioinformatics written by Jason T. L. Wang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.


Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.



The Molecular Vision Of Life


The Molecular Vision Of Life
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Author : Lily E. Kay
language : en
Publisher: Oxford University Press
Release Date : 1992-12-03

The Molecular Vision Of Life written by Lily E. Kay and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-12-03 with Science categories.


This fascinating study examines the rise of American molecular biology to disciplinary dominance, focusing on the period between 1930 and the elucidation of DNA structure in the mid 1950s. Research undertaken during this period, with its focus on genetic structure and function, endowed scientists with then unprecedented power over life. By viewing the new biology as both a scientific and cultural enterprise, Lily E. Kay shows that the growth of molecular biology was a result of systematic efforts by key scientists and their sponsors to direct the development of biological research toward a shared vision of science and society. She analyzes the motivations and mechanisms empowering this vision by focusing on two key institutions: Caltech and its sponsor, the Rockefeller Foundation. Her study explores a number of vital, sometimes controversial topics, among them the role of private power centers in shaping scientific agenda, and the political dimensions of "pure" research. It also advances a sobering argument: the cognitive and social groundwork for genetic engineering and human genome projects was laid by the American architects of molecular biology during these early decades of the project. This book will be of interest to molecular biologists, historians, sociologists, and the general reader alike.



Integrating Omics Data


Integrating Omics Data
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Author : George Tseng
language : en
Publisher: Cambridge University Press
Release Date : 2015-09-23

Integrating Omics Data written by George Tseng and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-23 with Mathematics categories.


Tutorial chapters by leaders in the field introduce state-of-the-art methods to handle information integration problems of omics data.



Data Science Ai And Machine Learning In Drug Development


Data Science Ai And Machine Learning In Drug Development
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Author : Harry Yang
language : en
Publisher: CRC Press
Release Date : 2022-10-03

Data Science Ai And Machine Learning In Drug Development written by Harry Yang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-03 with Business & Economics categories.


The confluence of big data, artificial intelligence (AI), and machine learning (ML) has led to a paradigm shift in how innovative medicines are developed and healthcare delivered. To fully capitalize on these technological advances, it is essential to systematically harness data from diverse sources and leverage digital technologies and advanced analytics to enable data-driven decisions. Data science stands at a unique moment of opportunity to lead such a transformative change. Intended to be a single source of information, Data Science, AI, and Machine Learning in Drug Research and Development covers a wide range of topics on the changing landscape of drug R & D, emerging applications of big data, AI and ML in drug development, and the build of robust data science organizations to drive biopharmaceutical digital transformations. Features Provides a comprehensive review of challenges and opportunities as related to the applications of big data, AI, and ML in the entire spectrum of drug R & D Discusses regulatory developments in leveraging big data and advanced analytics in drug review and approval Offers a balanced approach to data science organization build Presents real-world examples of AI-powered solutions to a host of issues in the lifecycle of drug development Affords sufficient context for each problem and provides a detailed description of solutions suitable for practitioners with limited data science expertise



The Era Of Artificial Intelligence Machine Learning And Data Science In The Pharmaceutical Industry


The Era Of Artificial Intelligence Machine Learning And Data Science In The Pharmaceutical Industry
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Author : Stephanie K. Ashenden
language : en
Publisher: Academic Press
Release Date : 2021-04-23

The Era Of Artificial Intelligence Machine Learning And Data Science In The Pharmaceutical Industry written by Stephanie K. Ashenden and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-23 with Computers categories.


The Era of Artificial Intelligence, Machine Learning and Data Science in the Pharmaceutical Industry examines the drug discovery process, assessing how new technologies have improved effectiveness. Artificial intelligence and machine learning are considered the future for a wide range of disciplines and industries, including the pharmaceutical industry. In an environment where producing a single approved drug costs millions and takes many years of rigorous testing prior to its approval, reducing costs and time is of high interest. This book follows the journey that a drug company takes when producing a therapeutic, from the very beginning to ultimately benefitting a patient's life. This comprehensive resource will be useful to those working in the pharmaceutical industry, but will also be of interest to anyone doing research in chemical biology, computational chemistry, medicinal chemistry and bioinformatics. - Demonstrates how the prediction of toxic effects is performed, how to reduce costs in testing compounds, and its use in animal research - Written by the industrial teams who are conducting the work, showcasing how the technology has improved and where it should be further improved - Targets materials for a better understanding of techniques from different disciplines, thus creating a complete guide