{"product_id":"artificial-intelligence-ai-in-cell-and-genetic-engineering-9781071646892","title":"Artificial Intelligence AI in Cell and Genetic","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif;\"\u003eOverview of Molecular Modelling in Drug Discovery with a Special Emphasis on the Applications of Artificial Intelligence.-  \u003c\/span\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 107%; font-family: 'Times New Roman',serif;\"\u003eIntegrative AI-Based Approaches to Connect the Multiome to Use Microbiome-Metabolome Interactive Outcome as Precision Medicine.- Artificial Intelligence (AI) Based Protein Structure Prediction and Analysis.- Artificial Intelligence in Cellular and Biomolecular Spectroscopy: A New Horizon.- R-Based Protocols to Predict Synthetic Lethal Interactions in Cancers using Machine-Learning Tools.- Advancements in AI for Computational Biology and Bioinformatics: A Comprehensive Review.- Integrating Genetic Insights and Artificial Intelligence for Enhanced Oral and Maxillofacial Cancer Care.- AI-Based Drug Discovery and Design for Different Genetic Designs.- AI-Assisted Cell Culture-System.- Review on Advancement of AI in Cell Engineering and Molecular Biology.- High-Throughput Virtual Screening of Small Molecule Modulators against Viral Proteins.- AI Revolutionizing Cell and Genetic Engineering: Innovations and Applications.- Recent Developments in the Application of Artificial Intelligence and Machine Learning in Early Screening and Diagnosis of Autism.- Artificial Intelligence in CRISPR-Cas Systems: A Review of Tool Applications.- Machine Learning Approaches for the Identification of Genetic Interactions.- Artificial Intelligence-Based Genome Editing in CRISPR\/Cas9.- Harnessing the Power of AI in Cell and Genetic Engineering.- MLCDL: A Critical Practice and Implementation of Multi-Tissue Classification and Diagnosis Using Deep Learning Algorithm.- Classification of Breast Cancer Microarray Data and Identification of Responsible Genes using Rough Set Theory.- Deep-Genomics: Deep Learning Based Analysis of Genome-Sequenced Data for Identification of Gene Alterations.- The Use of AI for Phenotype-Genotype Mapping.- Interface of Artificial Intelligence with Conventional Biostatistics in Healthcare Research.- Review on Advancement of AI in Nutrigenomics.- In Silico Validation of AI-Assisted Drugs in Healthcare.- From DNA to Big Data: NGS Technologies and Their Applications.- Review on Advancement of AI in Synthetic Biology.\u003cbr\u003e\u003cbr style=\"mso-special-character: line-break;\"\u003e\u003c!-- [if !supportLineBreakNewLine]--\u003e\u003cbr style=\"mso-special-character: line-break;\"\u003e\u003c!--[endif]--\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Humana","offers":[{"title":"Default Title","offer_id":51359341838679,"sku":"9781071646892","price":151.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/artificial-intelligence-ai-in-cell-and-genetic-engineering-9781071646892","provider":"Book Curl","version":"1.0","type":"link"}