The Role of Machine Learning and Artificial Intelligence in Revolutionizing Healthcare

Nyhet

Häftad, Engelska, 2026

2 249 kr

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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 account of vital aspects on artificial intelligence in the field of healthcare and discusses the perspectives of the technologies explored so far based upon the findings outlined in highly organized tables, illustrative figures, and flow charts. It brings together the novel applications of artificial intelligence in the field of healthcare and helps the readers to define the major gaps in knowledge that can lead to significant scientific discoveries Revolutionizing Healthcare: The Role of Machine Learning and Artificial Intelligence provides a comprehensive overview of AI in healthcare, covering computational drug design, genomic data mining, nanomedicines, medical devices, cosmeceuticals, biosensors, genome counseling, quality control, clinical trials, and cybersecurity. It aims to equip researchers, students, and scientists with foundational and practical knowledge of 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 account 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 in the field

Produktinformation

Utgivningsdatum2026-08-01
Mått191 x 235 x undefined mm
Vikt450 g
FormatHäftad
SpråkEngelska
Antal sidor440
FörlagElsevier Science
ISBN9780443275883

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Biologi inom Naturvetenskap och teknik

Dr. Prashant Kesharwani is assistant professor of Pharmaceutics at Department of Pharmaceutical Sciences, Dr. Harisingh Gour Vishwavidyalaya University, Sagar, Madhya Pradesh, India. He has more than 12 years of teaching, research, and industrial experience across various countries. An overarching goal of his current research is the development of nanoengineered drug delivery systems for various diseases. He has more than 350 international publications in well-reputed journals and more than 25 international books (Elsevier). He is a recipient of many research grants from various funding bodies. He is also the recipient of several internationally acclaimed awards, such as “USERN Laureate award, and “SERB-Ramanujan Fellowship Award. He has presented many invited talks and oral presentations at prestigious scientific peer-conferences, received international acclaims and awards for research contribution, supervised students/junior researchers and actively participated in outreach and scientific dissemination for the service of the wider community. Professor Mohammad Afshar Alam completed 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).

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