Adoption Of Artificial Intelligence In Human And Clinical Genomics Volume Ii
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Adoption Of Artificial Intelligence In Human And Clinical Genomics Volume Ii
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Author : Li Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2024-06-21
Adoption Of Artificial Intelligence In Human And Clinical Genomics Volume Ii written by Li Zhang 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 2024-06-21 with Science categories.
Large databases are created by genomics for the discovery, study, and development of novel treatments all around the world. It's not hard to conceive that artificial intelligence (AI) might currently study the 3 billion base pairs that make up humanoid genetic makeup in order to uncover genetic disparities among the population. By 2026, large pharmaceutical companies hope to have researched up to 2 million genomes and analyzed massive amounts of patient data from clinical drug studies. As new equipment is introduced, AI will be employed in genomics for a variety of omics investigations, including transcriptomics. To aid in the classification of potentially clinically significant genes, AI is used to combine data from genomic research with literature analysis. Machine learning is now a critical component of the genomics industry's growth. AI and Machine learning in genomics is already having an impact on a number of areas, including genetic testing, medical care delivery, and genomics accessibility for people interested in learning more about how their genes influence their health. The purpose of this research is to explore AI and Machine learning applications in gene technology and their roles in paving the way for future genomics machine learning applications.
Adoption Of Artificial Intelligence In Human And Clinical Genomics
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Author : Deepak Kumar Jain
language : en
Publisher: Frontiers Media SA
Release Date : 2023-09-08
Adoption Of Artificial Intelligence In Human And Clinical Genomics written by Deepak Kumar Jain 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 2023-09-08 with Science categories.
Radiomics And Radiogenomics In Neuro Oncology
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Author : Sanjay Saxena
language : en
Publisher: Elsevier
Release Date : 2024-10-15
Radiomics And Radiogenomics In Neuro Oncology written by Sanjay Saxena and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-15 with Medical categories.
Radiomics and Radiogenomics in Neuro-Oncology: An Artificial Intelligence Paradigm—Volume 2: Genetics and Clinical Applications provides readers with a broad and detailed framework for radiomics and radiogenomics (R-n-R) approaches with AI in neuro-oncology. It delves into the study of cancer biology and genomics, presenting methods and techniques for analyzing these elements. The book also highlights current solutions that R-n-R can offer for personalized patient treatments, as well as discusses the limitations and future prospects of AI technologies.Volume 1: Radiogenomics Flow Using Artificial Intelligence covers the genomics and molecular study of brain cancer, medical imaging modalities and their analysis in neuro-oncology, and the development of prognostic and predictive models using radiomics.Volume 2: Genetics and Clinical Applications extends the discussion to imaging signatures that correlate with molecular characteristics of brain cancer, clinical applications of R-n-R in neuro-oncology, and the use of Machine Learning and Deep Learning approaches for R-n-R in neuro-oncology. - Includes coverage of foundational concepts of the emerging fields of Radiomics and Radiogenomics - Covers imaging signatures for brain cancer molecular characteristics, including Isocitrate Dehydrogenase Mutations (IDH), TP53 Mutations, ATRX loss, MGMT gene, Epidermal Growth Factor Receptor (EGFR), and other mutations - Presents clinical applications of R-n-R in neuro-oncology such as risk stratification, survival prediction, heterogeneity analysis, as well as early and accurate prognosis - Provides in-depth technical coverage of radiogenomics studies for difference brain cancer types, including glioblastoma, astrocytoma, CNS lymphoma, meningioma, acoustic neuroma, and hemangioblastoma
Deep Learning In Genetics And Genomics
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Author : Khalid Raza
language : en
Publisher: Elsevier
Release Date : 2024-11-28
Deep Learning In Genetics And Genomics written by Khalid Raza and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-28 with Science categories.
Deep Learning in Genetics and Genomics: Vol. 2 (Advanced Applications) delves into the Deep Learning methods and their applications in various fields of studies, including genetics and genomics, bioinformatics, health informatics and medical informatics generating the momentum of today's developments in the field. In 25 chapters this title covers advanced applications in the field which includes deep learning in predictive medicines), analysis of genetic and clinical features, transcriptomics and gene expression patterns analysis, clinical decision support in genetic diagnostics, deep learning in personalised genomics and gene editing, and understanding genetic discoveries through Explainable AI. Further, it also covers various deep learning-based case studies, making this book a unique resource for wider, deeper, and in-depth coverage of recent advancement in deep learning based approaches. This volume is not only a valuable resource for health educators, clinicians, and healthcare professionals but also to graduate students of genetics, genomics, biology, biostatistics, biomedical sciences, bioinformatics, and interdisciplinary sciences. - Embraces the potential that deep learning holds for understanding genome biology - Encourages further advances in this area, extending to all aspects of genomics research - Provides Deep Learning algorithms in genetic and genomic research
Advances In Mathematical And Computational Oncology Volume Ii
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Author : George Bebis
language : en
Publisher: Frontiers Media SA
Release Date : 2022-06-27
Advances In Mathematical And Computational Oncology Volume Ii written by George Bebis 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 2022-06-27 with Science categories.
Raising Genomics Literacy Knowledge And Awareness
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Author : Azhar T. Rahma
language : en
Publisher: Academic Press
Release Date : 2025-05-23
Raising Genomics Literacy Knowledge And Awareness written by Azhar T. Rahma and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Science categories.
Raising Genomics Literacy, Knowledge, and Awareness is a unique resource which describes the importance of genomic literacy for the effective and streamlined implementation of genomic medicine and pharmacogenomics globally. It provides evidence and expert opinion to decipher the role of genomic and pharmacogenomic literacy to illustrate the evidence, value, and need of raising genomics awareness and education among healthcare professionals, students, and the general public. This text can be used by researchers and graduate students pursuing research in this area.• Presents hot topics such as genomic literacy and social media• Includes educational tools for raising genomics literacy• Provides frameworks and determinants of genomic literacy, knowledge, and awareness
Artificial Intelligence In Clinical Practice
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Author : Chayakrit Krittanawong
language : en
Publisher: Elsevier
Release Date : 2023-09-13
Artificial Intelligence In Clinical Practice written by Chayakrit Krittanawong and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-13 with Science categories.
Artificial Intelligence in Clinical Practice: How AI Technologies Impact Medical Research and Clinics compiles current research on Artificial Intelligence within medical subspecialties, helping practitioners with diagnosis, clinical decision-making, disease prediction, prevention, and the facilitation of precision medicine. The book defines the basic concepts of big data and AI in medicine and highlights current applications, challenges, ethical issues, and biases. Each chapter discusses AI applied to a specific medical subspecialty, including primary care, preventive medicine, general internal medicine, radiology, pathology, infectious disease, gastroenterology, cardiology, hematology, oncology, dermatology, ophthalmology, mental health, neurology, pulmonary, critical care, rheumatology, surgery, and OB-GYN. This is a valuable resource for clinicians, students, researchers and members of medical and biomedical fields who are interested in learning more about artificial intelligence technologies and their applications in medicine. - Provides the history and overview of the various modalities of AI and their applications within each field of medicine - Discusses current AI-based medical research, including landmark trials within each field of medicine - Addresses the current knowledge gaps that clinicians commonly face that prevent the application of AI-based research to clinical practice - Encompasses examples of specific cases and discusses challenges and biases associated with AI
Artificial Intelligence Ai In Cell And Genetic Engineering
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Author : Sudip Mandal
language : en
Publisher: Springer Nature
Release Date : 2025-06-24
Artificial Intelligence Ai In Cell And Genetic Engineering written by Sudip Mandal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Technology & Engineering categories.
This volume focuses on how different artificial intelligence (AI) techniques like Artificial Neural Network, Support Vector Machine, Random Forest, k-means Clustering, Rough Set Theory, and Convolutional Neural Network models are used in areas of cell and genetic engineering. The chapters this book cover a variety of topics such as molecular modelling in drug discovery, design of precision medicine, protein structure prediction, and analysis using AI. Readers can also learn about AI-based biomolecular spectroscopy, cell culture-system, AI-based drug discovery, and next generation sequencing. The book also discusses the application of AI in analysis of genetic diseases such as finding genetic insights of oral and maxillofacial cancer, early screening and diagnosis of autism, and classification of breast cancer microarray data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Artificial Intelligence (AI) in Cell and Genetic Engineering is a valuable resource for readers in various research communities who want to learn more about the real-life application of artificial intelligence and machine learning in systems biology, biotechnology, bioinformatics, and health-informatics especially in the field of cell and genetic engineering.
Artificial Intelligence In The Clinical Laboratory Current Practice And Emerging Opportunities An Issue Of The Clinics In Laboratory Medicine E Book
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Author : Jason Baron
language : en
Publisher: Elsevier Health Sciences
Release Date : 2023-02-10
Artificial Intelligence In The Clinical Laboratory Current Practice And Emerging Opportunities An Issue Of The Clinics In Laboratory Medicine E Book written by Jason Baron and has been published by Elsevier Health Sciences this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-10 with Medical categories.
In this issue, guest editors bring their considerable expertise to this important topic.Provides in-depth reviews on the latest updates in the field, providing actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize
Machine Learning Techniques On Gene Function Prediction Volume Ii
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Author : Quan Zou
language : en
Publisher: Frontiers Media SA
Release Date : 2023-04-11
Machine Learning Techniques On Gene Function Prediction Volume Ii written by Quan Zou 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 2023-04-11 with Science categories.