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).

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• 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

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).

Select Guide Rating

• 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

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).

Select Guide Rating

• 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