Data Science, AI, and Machine Learning in Drug Development

Data Science, AI, and Machine Learning in Drug Development

Yang, Harry

Taylor & Francis Ltd

10/2022

320

Dura

Inglês

9780367708078

15 a 20 dias

453

Descrição não disponível.
1 Transforming Pharma with Data Science, AI and Machine Learning 2 Regulatory Perspective on Big Data, AI, and Machining Learning 3 Building an Agile and Scalable Data Science Organization 4 AI and Machine Learning in Drug Discovery 5 Predicting Anti-Cancer Synergistic Activity Through Machine Learning and Natural Language Processing 6 AI-Enabled Clinical Trials 7 Machine Learning for Precision Medicine 8 Reinforcement Learning in Personalized Medicine 9 Leveraging Machine Learning, Natural Language Processing, and Deep Learning in Drug Safety and Pharmacovigilance 10 Intelligent Manufacturing and Supply of Biopharmaceuticals 11 Reinventing Medical Affairs in the Era of Big Data and Analytics 12 Deep Learning with Electronic Health Record 13 Real-World Evidence for Treatment Access and Payment Decisions
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Data Science;Machine Learning;AI;Drug Discovery;AI-Enabled;Pharmacovigilance;Biopharmaceuticals;Ml Algorithm;Ml Method;Big Data;Ml Model;EHR Data;NSCLC;Subgroup Identification;NSCLC Patient;Precision Medicine;3i Score;Random Forest;Fair;Bart Model;Loewe Additivity;EHR System;Predictive Biomarkers;Historical Clinical Trial;Exhaled Nitric Oxide;Prognostic Biomarker;TPP;Sofa Score;Fluticasone Furoate;Health Technology Assessment;Anticancer Combination Therapies;Pay For Performance