Cutting Edge Artificial Intelligence Spatial Transcriptomics And Proteomics Approaches To Analyze Cancer
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Cutting Edge Artificial Intelligence Spatial Transcriptomics And Proteomics Approaches To Analyze Cancer
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Author :
language : en
Publisher: Elsevier
Release Date : 2024-09-12
Cutting Edge Artificial Intelligence Spatial Transcriptomics And Proteomics Approaches To Analyze Cancer written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-12 with Medical categories.
Cutting Edge Artificial Intelligence, Spatial Transcriptomics and Proteomics Approaches to Analyze Cancer, Volume 163 in the Advances in Cancer Research series, highlights new advances in the field, with this new volume presenting interesting topics on the Impact of thermal processing on food flavonoids, Bioinformatics and bioactive peptides from foods: does it work together?, Food off-flavor volatiles generation, characterization and advances in novel strategies for mitigating off-flavor perception, Innovations in Food Packaging for a Sustainable and Circular economy, Upcycling of seafood side streams for circularity, Edible insects in foods, Effect of novel food processing technologies on Bacillus cereus spores, and more. - Contains contributions that have been carefully selected based on their vast experience and expertise on the subject - Includes updated, in-depth, and critical discussions of available information, giving the reader a unique opportunity to learn - Encompasses a broad view of the topics at hand
Converging Pharmacy Science And Engineering In Computational Drug Discovery
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Author : Tripathi, Rati Kailash Prasad
language : en
Publisher: IGI Global
Release Date : 2024-04-22
Converging Pharmacy Science And Engineering In Computational Drug Discovery written by Tripathi, Rati Kailash Prasad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-22 with Medical categories.
The world of pharmaceutical research is moving at lightning speed, and the age-old approach to drug discovery faces many challenges. It's a fascinating time to be on the cutting edge of medical innovation, but it's certainly not without its obstacles. The process of developing new drugs is often time-consuming, expensive, and fraught with uncertainty. Researchers are constantly seeking ways to streamline this process, reduce costs, and increase the success rate of bringing new drugs to market. One promising solution lies in the convergence of pharmacy science and engineering, particularly in computational drug discovery. Converging Pharmacy Science and Engineering in Computational Drug Discovery presents a comprehensive solution to these challenges by exploring the transformative synergy between pharmacy science and engineering. This book demonstrates how researchers can expedite the identification and development of novel therapeutic compounds by harnessing the power of computational approaches, such as sophisticated algorithms and modeling techniques. Through interdisciplinary collaboration, pharmacy scientists and engineers can revolutionize drug discovery, paving the way for more efficient and effective treatments. This book is an invaluable resource for pharmaceutical scientists, researchers, and engineers seeking to enhance their understanding of computational drug discovery. This book inspires future innovations by showcasing cutting-edge methodologies and innovative research at the intersection of pharmacy science and engineering. It contributes to the ongoing evolution of pharmaceutical research. It offers practical insights and solutions that will shape the future of drug discovery, making it essential reading for anyone involved in the pharmaceutical industry.
Preclinical Models And Emerging Technologies To Study The Effects Of The Tumor Microenvironment On Cancer Heterogeneity And Drug Resistance
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Author : Giulia Adriani
language : en
Publisher: Frontiers Media SA
Release Date : 2023-10-26
Preclinical Models And Emerging Technologies To Study The Effects Of The Tumor Microenvironment On Cancer Heterogeneity And Drug Resistance written by Giulia Adriani 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 2023-10-26 with Medical categories.
Application Of Multi Omics Analysis In Cancer Diagnosis Treatment And Prognosis
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Author : Wei Wu
language : en
Publisher:
Release Date : 2024-10-08
Application Of Multi Omics Analysis In Cancer Diagnosis Treatment And Prognosis written by Wei Wu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-08 with Science categories.
This reprint highlights recent developments in computational biology, deep learning algorithms, and cancer biology that enable the decoding of the cancer genome and tumor microenvironment ecosystem. One of its major focuses is on the integration of multi-omics data such as WGS, WES, scRNAseq, spatial transcriptomics, and proteomics, along with radiomics and digital pathology, to better understand cancer initiation, evolution, drug-tolerant persister cancer states, and full therapy resistance. Unbiased, systematic analyses using artificial intelligence, machine learning, and deep learning approaches could advance our knowledge and improve cancer treatment. In this reprint, leading experts in the field share their insights, research findings, and visions for the future of cancer informatics. Cutting-edge computational approaches and bioinformatics algorithms provide powerful toolkits to systematically identify clinically relevant biomarkers for early cancer diagnosis, prognosis, and precision cancer therapy stratification.
Gene Expression Analysis
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Author : Nalini Raghavachari
language : en
Publisher: Springer Nature
Release Date : 2025-02-03
Gene Expression Analysis written by Nalini Raghavachari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-03 with Science categories.
This second edition volume expands on the previous edition with updates on the latest methodologies in the transcriptomics field. The chapters in this book cover topics such as spatial omics, long-read sequencing technology, tissue microarrays, analysis of saliva and extracellular vesicles, machine learning and artificial intelligence-based approaches for analysis of singe cells transcriptome, and large sets of data on multi-omics including transcriptomics. 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 practical, Gene Expression Analysis: Methods and Protocols, Second Edition is a valuable resource for advanced undergraduate and graduate students studying gene expression analysis, and scientists interested in learning more about this rapidly advancing field.
Machine Learning In Single Cell Rna Seq Data Analysis
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Author : Khalid Raza
language : en
Publisher: Springer Nature
Release Date : 2024-09-02
Machine Learning In Single Cell Rna Seq Data Analysis written by Khalid Raza and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-02 with Computers categories.
This book provides a concise guide tailored for researchers, bioinformaticians, and enthusiasts eager to unravel the mysteries hidden within single-cell RNA sequencing (scRNA-seq) data using cutting-edge machine learning techniques. The advent of scRNA-seq technology has revolutionized our understanding of cellular diversity and function, offering unprecedented insights into the intricate tapestry of gene expression at the single-cell level. However, the deluge of data generated by these experiments presents a formidable challenge, demanding advanced analytical tools, methodologies, and skills for meaningful interpretation. This book bridges the gap between traditional bioinformatics and the evolving landscape of machine learning. Authored by seasoned experts at the intersection of genomics and artificial intelligence, this book serves as a roadmap for leveraging machine learning algorithms to extract meaningful patterns and uncover hidden biological insights within scRNA-seq datasets.
Artificial Intelligence And Bioinformatics In Cancer An Interdisciplinary Approach
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Author : Nima Rezaei
language : en
Publisher: Springer Nature
Release Date : 2025-05-30
Artificial Intelligence And Bioinformatics In Cancer An Interdisciplinary Approach written by Nima Rezaei and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-30 with Medical categories.
The “Artificial Intelligence and Bioinformatics in Cancer: An Interdisciplinary Approach” is the eighteenth volume of the “Interdisciplinary Cancer Research” series, publishes comprehensive volume on the advances of machine learning and bioinformatics in cancer. The volume starts with a chapter on application of artificial intelligence for early diagnosis of cancer. Then digital health technologies in cancer care and research is discussed. Unveiling cancer complexity: machine learning insights into multi-omics data and the role of integrated bioinformatics in cancer research are also discussed. In silico and biophysical approaches in cancer research and in silico methods and targeted receptors used in cancer studies are explained in the following chapters. The modeling uncertain growth and diffusion in cancer tumors with heterogeneous cell mutations, imaging tumor metabolism and its heterogeneity with special focus on radiomics and artificial intelligence are also discussed. Mathematical modeling of cancer tumor dynamics as well as recent advances in artificial intelligence for cancer treatment are presented, while signature-based drug repositioning for drug discovery employing machine learning tools is also discussed. After a chapter on mathematical analysis of cancer-tumor models, the subsequent chapters discuss on the role of artificial intelligence in colorectal cancer, breast cancer, lung cancer, brain tumor, and cervical cancer. This is the main concept of Cancer Immunology Project (CIP), which is a part of Universal Scientific Education and Research Network (USERN). This interdisciplinary book will be of special value for oncologists who wish to have an update on application of artificial intelligence in diagnosis and treatment of cancers.
Machine Learning Models For Personalized Oncology Advancing Tumor Monitoring With Minimal Residual Disease Detection
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Author : Sambasiva Rao Suura
language : en
Publisher: GLOBAL PEN PRESS UK
Release Date :
Machine Learning Models For Personalized Oncology Advancing Tumor Monitoring With Minimal Residual Disease Detection written by Sambasiva Rao Suura and has been published by GLOBAL PEN PRESS UK this book supported file pdf, txt, epub, kindle and other format this book has been release on with Medical categories.
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Deep Learning Applications In Translational Bioinformatics
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Author : Khalid Raza
language : en
Publisher: Elsevier
Release Date : 2024-03-07
Deep Learning Applications In Translational Bioinformatics 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 2024-03-07 with Computers categories.
Deep Learning Applications in Translational Bioinformatics, a new volume in the Advances in Ubiquitous Sensing Application for Healthcare series, offers a detailed overview of basic bioinformatics, deep learning, and various applications of deep learning in translational bioinformatics, including deep learning ensembles, deep learning in protein classification, detection of various diseases, prediction of antiviral peptides, identification of antibiotic resistance, computer aided drug design and drug formulation. This new volume helps researchers working in the field of machine learning and bioinformatics foster future research and development.
Advanced Machine Learning Approaches In Cancer Prognosis
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Author : Janmenjoy Nayak
language : en
Publisher: Springer Nature
Release Date : 2021-05-29
Advanced Machine Learning Approaches In Cancer Prognosis written by Janmenjoy Nayak and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-29 with Technology & Engineering categories.
This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learning have proved its vast range of significance and, provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D. students, postdocs, and anyone interested in the subjects discussed.