
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
Duración:00:11:59
Chapter 2: Navigating the Data Deluge
Duración:00:12:57
Chapter 3: AI Algorithms and Their Impact on Research
Duración:00:11:27
Chapter 4: Target Identification
Duración:00:09:45
Chapter 5: Molecule Generation and Screening
Duración:00:08:35
Chapter 6: Drug Repurposing
Duración:00:09:28
Chapter 7: Preclinical Development
Duración:00:08:08
Chapter 8: Clinical Trials Revolution
Duración:00:08:13
Chapter 9: Real-World Case Studies of AI-Driven Success
Duración:00:08:34
Chapter 10: AI and Genomics
Duración:00:09:42
Chapter 11: Advanced Biomarker Discovery
Duración:00:09:28
Chapter 12: Drug Toxicity Predictions
Duración:00:10:09
Chapter 13: AI-Powered Chemical Synthesis
Duración:00:09:40
Chapter 14: Personalized Medicine Breakthroughs
Duración:00:09:14
Chapter 15: Digital Twins in Pharma
Duración:00:10:06
Chapter 16: Computational Simulations for Drug Interactions
Duración:00:07:50
Chapter 17: Toxicogenomics and Safety Pharmacology
Duración:00:08:15
Chapter 18: AI-Enhanced Pharmacovigilance
Duración:00:07:31
Chapter 19: AI for Manufacturing and Supply Chains
Duración:00:07:47
Chapter 20: Legal and Ethical Challenges
Duración:00:09:10
Chapter 21: Partnerships and Collaborations
Duración:00:10:26
Chapter 22: Role of Government Regulations
Duración:00:08:37
Chapter 23: Investment and Financial Landscape
Duración:00:09:09
Chapter 24: AI in Rare Disease Research
Duración:00:09:42
Chapter 25: Emerging Technologies Complementing AI
Duración:00:08:39
Chapter 26: Open Science and AI
Duración:00:10:11
Chapter 27: Future of Deep Learning in Pharmaceuticals
Duración:00:08:22
Chapter 28: Integrating AI into Traditional R&D
Duración:00:08:41
Chapter 29: Explainable AI in Drug Development
Duración:00:08:18
Chapter 30: AI Talent in Pharma
Duración:00:08:37
Chapter 31: AI for Public Health and Policy Making
Duración:00:07:53
Chapter 32: The Future of AI in Pharma
Duración:00:08:06
Chapter 33: Building a Collaborative Ecosystem
Duración:00:08:50
Chapter 34: Incorporating AI into Global Health Initiatives
Duración:00:09:36
Chapter 35: Closing Reflections and Roadmap
Duración:00:08:41