What does the fusion of medical big data and AI (artificial intelligence) bring to the field of drug discovery? A detailed explanation of the current state and challenges of innovative drug discovery technologies!
Exploring the potential of AI drug discovery through the efforts of pharmaceutical companies, starting with large-scale projects!
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basic information
"Innovative AI Drug Discovery: The Future of Drug Research Brought by Medical Big Data and Artificial Intelligence" ■Format: B5 size, 390 pages ■Price: 50,000 yen + tax ■Supervised by: Akihiko Konagaya ■Published by: NTS Chapter 1: Current Status of AI Drug Discovery Research in Japan Chapter 2: Cutting Edge of AI Drug Discovery from Chemoinformatics Chapter 3: AI Drug Discovery from Bioinformatics and Medical Informatics Chapter 4: Information Processing Technologies Promoting AI Drug Discovery Chapter 5: Case Studies Chapter 6: AI Drug Discovery Initiatives in Pharmaceutical Companies Chapter 7: AI Drug Discovery Initiatives in AI Venture Companies
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List price: 50,000 yen + tax
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P2
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P2
Applications/Examples of results
Omics data Drug repositioning Omics analysis Healthcare Big data Formation of big data from genomic information Medical big data Molecular dynamics simulation method Utilization of artificial intelligence Toxicity-related big data Toxicity prediction model Receipt information Nursing care receipt information Neoantigen prediction system Personalized cancer vaccine TG4050 Design of medium and high molecular weight pharmaceuticals Proteomics AI aptamer drug discovery technology Polypharmacology drug discovery In silico drug discovery Antibody drug design Pathological histological evaluation
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NTS selects reliable information from the overwhelming amount of information through seminars, publications, and literature information activities, and passes it on to the next generation. From abundance to certainty—that is the philosophy of NTS's activities.
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