Machine Learning Drug Development (65 results)

Taschenbuch. Condition: Neu. Neuware - If you think clinical trials are slow, expensive, and complicated, you're absolutely right. For decades, drug development has struggled with patient recruitment delays, data silos, trial failures, and rising costs. But what if artificial intelligence could help change the game In AI in Clinical Trials: Accelerating Drug Development with Machine Learning and Synthetic Data, I take you on a practical and engaging journey through the technologies transforming modern clinical research. Whether you're a healthcare professional, pharmaceutical leader, researcher, data scientist, student, or simply curious about the future of medicine, this book will help you understand how AI is reshaping every stage of the clinical trial process. Don't worry-this isn't one of those books that requires a PhD, three monitors, and a gallon of coffee to understand. I've broken down complex concepts into clear, relatable insights with real-world applications and plenty of practical examples. Inside this book, you'll discover: - How machine learning is accelerating clinical trial design and execution - The growing role of synthetic data in healthcare innovation and privacy protection - AI-powered strategies for patient recruitment, enrollment, and retention - Methods for improving diversity, inclusion, and representation in clinical research - Predictive analytics techniques that help identify risks before they become costly failures - The rise of decentralized clinical trials, digital biomarkers, and remote monitoring - How synthetic control arms and virtual trials are changing traditional study models - Regulatory, ethical, and legal challenges surrounding AI-driven healthcare decisions - Best practices for implementing AI solutions within pharmaceutical and biotech organizations - Emerging trends that could redefine drug development in the coming decade The future of clinical research isn't about replacing scientists, physicians, or clinical teams with algorithms. It's about giving them smarter tools, better data, and faster pathways to life-changing discoveries. AI is becoming the ultimate research assistant-minus the coffee breaks and office gossip. As healthcare systems generate more data than ever before, organizations that understand how to harness machine learning and synthetic data will gain a significant advantage in developing safer, more effective therapies. The question is no longer whether AI will influence clinical trials. The question is how quickly the industry can adapt. If you're ready to explore the intersection of artificial intelligence, machine learning, synthetic data, clinical research, and drug development, this book will provide the knowledge, strategies, and inspiration to help you navigate one of the most exciting transformations in modern healthcare. The future of clinical trials has arrived. Let's discover it together.…

Taschenbuch. Condition: Neu. AI in drug discovery and development | Revolutionizing modern medicine with machine learning and data science. | Sushmita Bhendekar | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209894558 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

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Paperback. Condition: new. Paperback. Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Paperback. Condition: new. Paperback. Bioinformatics, AI, and Machine Learning in microbial drug development Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Condition: New. Explores the intersection of microbes and cutting-edge technology, revolutionizing drug discoveryDelves into the possibilities to using bioinformatics to create microbial diversity, optimize drug production, and navigate ethical considerati.

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Hardback. Condition: New. Machine Learning in Drug Development: Part Two, Volume 65 in the Annual Reports on Medicinal Chemistry series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Chapters in this volume explore Transforming Modern Drug Discovery with Machine Learning - Applications in Ligand-based Drug Design, Optimizing Multi-Modal Drug Design Through Computational Pocket Mapping and Data Integration, Harnessing AI for Nucleic Acid Drug Discovery: Small Molecule Targeting DNA and RNA, AI-aided Drug Development for Protein Degraders: Design, Lead Identification, and Optimization, and more.Additional section delve into Artificial Intelligence in the Development of Antiviral Drugs - Progress and Applications, Artificial Intelligence for Drug Target Identification, and Machine Learning in Proteomic Biomarker Discovery.…

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