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THE COMPLETE GUIDE TO MACHINE LEARNING AND DEEP LEARNING IN DRUG DISCOVERY

Author Name: Y. LAKSHMI PRASAD | Format: Paperback | Genre : Educational & Professional | Other Details

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.

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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.

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