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    1. Naturvetenskap och teknik
    2. Matematik och naturvetenskap
    3. Biologi

    The Role of Machine Learning and Artificial Intelligence in Revolutionizing Healthcare

    AvPrashant Kesharwani,M. Afshar Alam

    Häftad, Engelska, 2027

    1 771 kr

    Kommande

    Beskrivning

    Revolutionizing Healthcare: The Role of Machine Learning and Artificial Intelligence describes the complexity of healthcare data that necessitates the expanding use of artificial intelligence (AI). This book offers an explicit accounting of vital aspects on artificial intelligence in healthcare, discussing perspectives of the technologies explored based on findings outlined in highly organized tables, illustrative figures, and flow charts. It brings together novel applications of artificial intelligence in healthcare and helps readers define major gaps in knowledge that can lead to significant scientific discoveries.

    In addition, the book covers computational drug design, genomic data mining, nanomedicines, medical devices, cosmeceuticals, biosensors, genome counseling, quality control, clinical trials, and cybersecurity. Researchers, students, and scientists will find the book provides foundational and practical knowledge, along with the most advanced AI applications in healthcare.

    • Presents a consistent and thorough overview of artificial intelligence in healthcare, focusing on foundational concepts and wide applications
    • Offers an explicit accounting of vital aspects of artificial intelligence in healthcare, discussing technological perspectives based on findings outlined in organized tables, illustrative figures, and flow charts
    • Encourages multidisciplinary collaboration to tackle key challenges in AI technology within healthcare, fostering innovation and advancements

    Produktinformation

    • Utgivningsdatum:2027-01-01
    • Mått:191 x 235 x undefined mm
    • Vikt:450 g
    • Format:Häftad
    • Språk:Engelska
    • Antal sidor:440
    • Förlag:Elsevier Science
    • ISBN:9780443275883

    Utforska kategorier

    • Biologi inom Naturvetenskap och teknik

    Mer om författaren

    Dr. Prashant Kesharwani is an Assistant Professor of Pharmaceutics at Dr. Harisingh Gour Vishwavidyalaya (A Central University), Sagar, India. His work focuses on translational nanomedicine, polymeric biomaterials, targeted drug delivery, nanoengineered drug delivery systems, and translational pharmaceutical research. He has contributed extensively to the scientific literature and has served as an editor of scholarly books. Dr. Kesharwani has received research funding from national agencies and has been recognized with awards and fellowships for his contributions to the field. His research interests include nanomedicine, targeted and stimuli-responsive drug delivery, polymeric nanocarriers, and related pharmaceutical applications. He is actively involved in scientific research, academic mentoring, and scholarly publishing. Professor M. Afshar Alam is presently working as Vice-Chancellor and Professor and Dean of School of Engineering Sciences and Technology at Jamia Hamdard, New Delhi. His research areas include Software Re-engineering, Data Mining, Bio-Informatics, Fuzzy databases, and Sustainable Development. He has authored 10 books, supervised more than 30 Doctoral students and more than 200 Post Graduate research projects and has more than 160 research papers in reputed journals to his credit. He is conferred with many prestigious awards like Bharat Samaj Ratna Award, AMP Award for Excellence in Education, Cooperative Citizen Award, World Environment Day Award, and Spardha Shree Award. He is also the member of various government bodies at both National and International level including University Grants Commission (UGC), All India Council of Technical Education (AICTE), National Assessment and Accreditation Council (NAAC), Department of Science & Technology (DST).

    Innehållsförteckning

    • 1. History and introduction of machine learning and artificial intelligence2. Current landscape of machine learning and artificial intelligence in healthcare3. Rise of artificial intelligence in modern healthcare and pharmaceutical industry4. Advances in computational drug design and drug discovery: Integrating artificial intelligence and molecular modelling5. Artificial intelligence-driven genomic data mining for biomarker discovery and therapeutic target identification6. Artificial intelligence driven predictive modelling for disease progression and prognosis7. Artificial intelligence powered drug delivery system8. Artificial intelligence-driven innovations in nanomedicines9. Harnessing artificial intelligence for innovative medical devices10. Artificial intelligence innovation in skin health and cosmeceuticals11. Cognitive biosensing: Harnessing artificial intelligence for biosensors12. Artificial intelligence in personalised medicine and genome counselling13. Artificial intelligence driven automation in quality control and assurance in pharmaceutical manufacturing14. Artificial intelligence and digitalisation in regulatory science15. Integrating artificial intelligence in clinical trials16. Cybersecurity Risks in artificial intelligence enabled healthcare: Safeguarding patient data17. Ethical algorithms: Navigating the moral landscape and impact of AI in healthcare, addressing bias, privacy and equity18. Limitations and future of artificial intelligence in healthcare