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| Link zu diesem Datensatz | https://d-nb.info/1369651171 |
| Titel | Artificial Intelligence (AI) in Cell and Genetic Engineering / edited by Sudip Mandal |
| Person(en) | Mandal, Sudip (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2025 |
| Verlag | New York, NY : Springer US, Imprint: Humana |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, XII, 493 p. 94 illus., 85 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-1-0716-4689-2 Printed edition:: ISBN: 978-1-0716-4691-5 Printed edition:: ISBN: 978-1-0716-4692-2 |
| Inhalt | Overview of Molecular Modelling in Drug Discovery with a Special Emphasis on the Applications of Artificial Intelligence -- Integrative 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 |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2506250405355.450423639588 DOI: 10.1007/978-1-0716-4690-8 |
| URL | https://doi.org/10.1007/978-1-0716-4690-8 |
| ISBN/Einband/Preis | 978-1-0716-4690-8 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Methods in Molecular Biology ; 2952 |
| DDC-Notation | 610.28 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 610 Medizin, Gesundheit |
| Online-Zugriff | Archivobjekt öffnen |
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