ml Drug Discovery

Artificial Intelligence and Machine Learning in Drug Design and Development  eBooks & eLearning

Posted by yoyoloit at June 19, 2024
Artificial Intelligence and Machine Learning in Drug Design and Development

Artificial Intelligence and Machine Learning in Drug Design and Development
by Abhirup Khanna

English | 2024 | ISBN: 1394234163 | 670 pages | True PDF | 99.98 MB
Biosystems, Biomedical & Drug Delivery Systems: Characterization, Restoration and Optimization

Biosystems, Biomedical & Drug Delivery Systems: Characterization, Restoration and Optimization by Shrikaant Kulkarni, A. K. Haghi, Sonali Manwatkar
English | PDF EPUB (True) | 2024 | 376 Pages |ISBN : 981972595X | 20.5 MB

The book gives an insight into the thorough study and examination of incumbent biosystems, their present status and disruption in their integrity, causes and effects, measures to be taken for their characterization and restoration apart from advances and applications in the field of biosciences, drug design, discovery, bio-systems, biomedical and drug delivery technologies, tools in particular. The book collates information from several disciplines, such as chemistry, biology, material science, engineering, statistics, biomedicine, genetics, etc., as the subject in question is a confluence of many disciplines exhibiting numerous applications such as bioimaging, novel biological agents, synthesis, discovery testing, characterization of drugs right from selecting a suitable precursor to discovering and designing a drug following a correct synthetic route, adoption of computer simulation-based models, AI/ML-based models, application of statistical tools in analyzing and interpreting data, design, multi-functional, and operational drug delivery systems, their bio-compatibility, capacity of carrying and release of drug reproducibly etc.
Biosystems, Biomedical & Drug Delivery Systems: Characterization, Restoration and Optimization

Biosystems, Biomedical & Drug Delivery Systems: Characterization, Restoration and Optimization by Shrikaant Kulkarni, A. K. Haghi, Sonali Manwatkar
English | PDF EPUB (True) | 2024 | 376 Pages |ISBN : 981972595X | 20.5 MB

The book gives an insight into the thorough study and examination of incumbent biosystems, their present status and disruption in their integrity, causes and effects, measures to be taken for their characterization and restoration apart from advances and applications in the field of biosciences, drug design, discovery, bio-systems, biomedical and drug delivery technologies, tools in particular. The book collates information from several disciplines, such as chemistry, biology, material science, engineering, statistics, biomedicine, genetics, etc., as the subject in question is a confluence of many disciplines exhibiting numerous applications such as bioimaging, novel biological agents, synthesis, discovery testing, characterization of drugs right from selecting a suitable precursor to discovering and designing a drug following a correct synthetic route, adoption of computer simulation-based models, AI/ML-based models, application of statistical tools in analyzing and interpreting data, design, multi-functional, and operational drug delivery systems, their bio-compatibility, capacity of carrying and release of drug reproducibly etc.
Biosystems, Biomedical & Drug Delivery Systems: Characterization, Restoration and Optimization

Biosystems, Biomedical & Drug Delivery Systems: Characterization, Restoration and Optimization by Shrikaant Kulkarni, A. K. Haghi, Sonali Manwatkar
English | PDF EPUB (True) | 2024 | 376 Pages |ISBN : 981972595X | 20.5 MB

The book gives an insight into the thorough study and examination of incumbent biosystems, their present status and disruption in their integrity, causes and effects, measures to be taken for their characterization and restoration apart from advances and applications in the field of biosciences, drug design, discovery, bio-systems, biomedical and drug delivery technologies, tools in particular. The book collates information from several disciplines, such as chemistry, biology, material science, engineering, statistics, biomedicine, genetics, etc., as the subject in question is a confluence of many disciplines exhibiting numerous applications such as bioimaging, novel biological agents, synthesis, discovery testing, characterization of drugs right from selecting a suitable precursor to discovering and designing a drug following a correct synthetic route, adoption of computer simulation-based models, AI/ML-based models, application of statistical tools in analyzing and interpreting data, design, multi-functional, and operational drug delivery systems, their bio-compatibility, capacity of carrying and release of drug reproducibly etc.

Computational Methods for Rational Drug Design  eBooks & eLearning

Posted by hill0 at Dec. 7, 2024
Computational Methods for Rational Drug Design

Computational Methods for Rational Drug Design
English | 2025 | ISBN: 1394249160 | 558 Pages | PDF | 14 MB

Genomics at the Nexus of AI, Computer Vision, and Machine Learning  eBooks & eLearning

Posted by hill0 at Oct. 8, 2024
Genomics at the Nexus of AI, Computer Vision, and Machine Learning

Genomics at the Nexus of AI, Computer Vision, and Machine Learning
English | 2024 | ISBN: 1394268807 | 540 Pages | PDF | 175 MB

Genomics at the Nexus of AI, Computer Vision, and Machine Learning  eBooks & eLearning

Posted by hill0 at Oct. 16, 2024
Genomics at the Nexus of AI, Computer Vision, and Machine Learning

Genomics at the Nexus of AI, Computer Vision, and Machine Learning
English | 2024 | ISBN: 1394268807 | 540 Pages | EPUB | 50 MB

Applied Machine Learning for Healthcare and Life Sciences Using AWS  eBooks & eLearning

Posted by hill0 at Nov. 28, 2022
Applied Machine Learning for Healthcare and Life Sciences Using AWS

Applied Machine Learning for Healthcare and Life Sciences Using AWS:
Transformational AI implementations for biotech, clinical, and healthcare organizations

English | 2022 | ISBN: 1804610216 | 224 Pages | EPUB | 5 MB

Machine Learning Methods for Multi-Omics Data Integration  eBooks & eLearning

Posted by hill0 at Nov. 14, 2023
Machine Learning Methods for Multi-Omics Data Integration

Machine Learning Methods for Multi-Omics Data Integration
English | 2024 | ISBN: 3031365011 | 284 Pages | PDF EPUB (True) | 18 MB
Applied Machine Learning for Healthcare and Life Sciences Using AWS:  Transformational AI implementations for biotech (repost)

Applied Machine Learning for Healthcare and Life Sciences Using AWS:
Transformational AI implementations for biotech, clinical, and healthcare organizations

English | 2022 | ISBN: 1804610216 | 224 Pages | True PDF | 15 MB