
AI Pharma: Artificial Intelligence in Drug Discovery and Development
Daniel D. Lee
This audiobook is narrated by a digital voice.
"AI Pharma: Artificial Intelligence in Drug Discovery and Development" is a comprehensive exploration of how artificial intelligence is reshaping the pharmaceutical industry. It reveals how machine learning, deep learning, and other advanced technologies are revolutionizing drug discovery and development. The book meticulously charts the evolution of AI's role, starting from the surge in data collection and processing to the latest breakthroughs in predictive modeling.
It unveils AI's transformative impact on research and development, delving into how AI tools streamline target identification, molecule generation, and clinical trials, leading to faster, more accurate results. Key industry experts share insights on the challenges of navigating the vast amount of data produced, stressing the importance of data cleaning, curation, and ethical considerations in collection.
Case studies highlight how startups and leading companies use AI algorithms for deep learning in drug development, identifying disease targets and generating new compounds with unprecedented precision. The book emphasizes practical applications, like predictive models for toxicity and safety in preclinical trials and patient recruitment optimization in clinical trials.
Additionally, it tackles the intersection of AI with emerging technologies like the Internet of Medical Things (IoMT) and blockchain, showcasing how these complement AI in securing data and enhancing pharmaceutical supply chains. Readers will gain a deep understanding of the regulatory landscape, exploring FDA guidelines and global regulations that shape AI adoption.
Duration - 5h 21m.
Author - Daniel D. Lee.
Narrator - Digital Voice Mike G.
Published Date - Monday, 20 January 2025.
Copyright - © 2024 Daniel D. Lee ©.
Location:
United States
Description:
This audiobook is narrated by a digital voice. "AI Pharma: Artificial Intelligence in Drug Discovery and Development" is a comprehensive exploration of how artificial intelligence is reshaping the pharmaceutical industry. It reveals how machine learning, deep learning, and other advanced technologies are revolutionizing drug discovery and development. The book meticulously charts the evolution of AI's role, starting from the surge in data collection and processing to the latest breakthroughs in predictive modeling. It unveils AI's transformative impact on research and development, delving into how AI tools streamline target identification, molecule generation, and clinical trials, leading to faster, more accurate results. Key industry experts share insights on the challenges of navigating the vast amount of data produced, stressing the importance of data cleaning, curation, and ethical considerations in collection. Case studies highlight how startups and leading companies use AI algorithms for deep learning in drug development, identifying disease targets and generating new compounds with unprecedented precision. The book emphasizes practical applications, like predictive models for toxicity and safety in preclinical trials and patient recruitment optimization in clinical trials. Additionally, it tackles the intersection of AI with emerging technologies like the Internet of Medical Things (IoMT) and blockchain, showcasing how these complement AI in securing data and enhancing pharmaceutical supply chains. Readers will gain a deep understanding of the regulatory landscape, exploring FDA guidelines and global regulations that shape AI adoption. Duration - 5h 21m. Author - Daniel D. Lee. Narrator - Digital Voice Mike G. Published Date - Monday, 20 January 2025. Copyright - © 2024 Daniel D. Lee ©.
Language:
English
Chapter 1: The Rise of AI in Pharma
Duration:00:11:59
Chapter 2: Navigating the Data Deluge
Duration:00:12:57
Chapter 3: AI Algorithms and Their Impact on Research
Duration:00:11:27
Chapter 4: Target Identification
Duration:00:09:45
Chapter 5: Molecule Generation and Screening
Duration:00:08:35
Chapter 6: Drug Repurposing
Duration:00:09:28
Chapter 7: Preclinical Development
Duration:00:08:08
Chapter 8: Clinical Trials Revolution
Duration:00:08:13
Chapter 9: Real-World Case Studies of AI-Driven Success
Duration:00:08:34
Chapter 10: AI and Genomics
Duration:00:09:42
Chapter 11: Advanced Biomarker Discovery
Duration:00:09:28
Chapter 12: Drug Toxicity Predictions
Duration:00:10:09
Chapter 13: AI-Powered Chemical Synthesis
Duration:00:09:40
Chapter 14: Personalized Medicine Breakthroughs
Duration:00:09:14
Chapter 15: Digital Twins in Pharma
Duration:00:10:06
Chapter 16: Computational Simulations for Drug Interactions
Duration:00:07:50
Chapter 17: Toxicogenomics and Safety Pharmacology
Duration:00:08:15
Chapter 18: AI-Enhanced Pharmacovigilance
Duration:00:07:31
Chapter 19: AI for Manufacturing and Supply Chains
Duration:00:07:47
Chapter 20: Legal and Ethical Challenges
Duration:00:09:10
Chapter 21: Partnerships and Collaborations
Duration:00:10:26
Chapter 22: Role of Government Regulations
Duration:00:08:37
Chapter 23: Investment and Financial Landscape
Duration:00:09:09
Chapter 24: AI in Rare Disease Research
Duration:00:09:42
Chapter 25: Emerging Technologies Complementing AI
Duration:00:08:39
Chapter 26: Open Science and AI
Duration:00:10:11
Chapter 27: Future of Deep Learning in Pharmaceuticals
Duration:00:08:22
Chapter 28: Integrating AI into Traditional R&D
Duration:00:08:41
Chapter 29: Explainable AI in Drug Development
Duration:00:08:18
Chapter 30: AI Talent in Pharma
Duration:00:08:37
Chapter 31: AI for Public Health and Policy Making
Duration:00:07:53
Chapter 32: The Future of AI in Pharma
Duration:00:08:06
Chapter 33: Building a Collaborative Ecosystem
Duration:00:08:50
Chapter 34: Incorporating AI into Global Health Initiatives
Duration:00:09:36
Chapter 35: Closing Reflections and Roadmap
Duration:00:08:41