Artificial Intelligence is transforming how we discover, develop, and deliver medicines. Using Machine Learning in Drug Discovery and Development offers a powerful and practical roadmap for pharmaceutical and biotech professionals to navigate this transformation with confidence.
Authored by a globally recognized expert with over 25 years of experience in AI, machine learning, and drug development, this book blends scientific depth with real-world insight. It guides readers through every stage of the drug lifecycle — from molecular discovery and lead optimization to clinical trials, regulatory decision-making, and post-launch monitoring — showing how machine learning accelerates innovation while upholding scientific and ethical integrity.
Through clear explanations, relatable analogies, and thought-provoking examples, the book transforms complex algorithms into intuitive concepts. Each chapter bridges data science and pharmacology, preparing readers to apply AI techniques responsibly and effectively in real-world scenarios.
Perfect for scientists, data professionals, and life science leaders alike, this is more than a guide — it’s a blueprint for the intelligent, ethical, and collaborative future of pharmaceutical innovation.
Sorry we are currently not available in your region. Alternatively you can purchase from our partners
Write your review for this book (optional)
Review Deleted
Your review has been deleted and won’t appear on the book anymore.Sorry we are currently not available in your region. Alternatively you can purchase from our partners
Y. LAKSHMI PRASAD
Y. Lakshmi Prasad is an internationally recognized expert in Artificial Intelligence, Machine Learning, and Natural Language Processing, with over 25 years of hands-on experience applying advanced analytics to drug discovery, clinical development, and regulatory sciences.
Throughout his career, he has led transformative AI initiatives across global pharmaceutical organizations, integrating data-driven intelligence into every phase of the drug lifecycle — from molecule design and clinical trial simulation to compliance automation and post-market surveillance. His deep expertise lies in bridging the gap between computational science and life sciences, enabling organizations to translate data into ethical, impactful, and regulatory-aligned innovation.
A passionate educator and corporate trainer, he has mentored thousands of professionals and emerging scientists in applying AI and ML concepts to real-world pharmaceutical challenges. His teaching philosophy blends scientific rigor with industry relevance, emphasizing clarity, ethics, and practical problem-solving.
With a rare blend of technical mastery and domain insight, Y. Lakshmi Prasad continues to inspire the next generation of AI-driven pharmaceutical innovators, championing a future where technology amplifies both human intelligence and compassion in medicine.
