Artificial Intelligence for Predictive Healthcare Towards Personalized Treatment and Disease Prevention

1. Introduction to AI in Healthcare
Neeraj Gupta

2. AI Technologies Uses for Diagnostic Modalities in Drug Resistant Tuberculosis Diagnosis
Shahista, Jappreet Kaur, Amit Kumar Singh, and Vivek Kumar Garg

3. From Preprocessing to Prediction: An Analytical Study on Diabetes Data
Marbin Siju, Shreya Bose, and Vijayalakshmi A.

4. Integrating AI-Powered Multi-Modal Data for Early Cardiovascular Disease Detection and Personalized Predictive Healthcare
Sharad Kumar

5. Role of AI Technology in the Diagnosis of Urinary Tract Infection
Taniya Sood, Jappreet Kaur, Amit Kumar Singh, and Vivek Kumar Garg

6. Evolving Role of Healthcare Professionals in Smart Healthcare
Eram Khan, Sachitanand Singh, Vivek Kumar Garg, Neelam Goel, and Sanskriti Singh

7. Deep Learning-Based Stratification of Iron Overload in Thalassemia Patients
Shubh Garg, Ronit Parakh, Jayant Khandelwal, Chandramohan Dhasaratahan, and Neeru Jindal

8. Comparative Analysis of Automated Malaria Cell Classification: EfficientNet-B0 Transfer Learning Versus Traditional Machine Learning
Mainak Saha, Rabin Bhaumik, and Tannistha Pal

9. Deep CNN Optimization Method for MRI Image-Based Brain Tumor Identifications
Narayan B. Vikhe and Manish Shrivastava

10. Tech-Enabled Transformations in Gender-Inclusive Healthcare: A Critical Interpretive Synthesis of Artificial Intelligence in India
Sonia David and Anupama Sadasivan

11. Healthcare AI Optimizing Diagnosis and Treatment Plans: AI Driven Precision Medicine and Personalized Healthcare
Aakriti Khanna, Aakansha Khanna, Inderdeep Kaur, and Inzimam ul Hassan

12. A Comparative Analysis of Supervised and Semi-Supervised Deep Learning Models for Monkeypox Blisters Classification
Ashutosh Satapathy, J. Chandrakant Badajena, Duda Neelima, and Dukka Naresh

13. Hybrid Machine Learning Algorithms for Early Prediction of Diabetes
Arpita Santra and Ambar Dutta

14. Nature-Inspired Algorithms of Machine Learning and Generative AI for Cancer Diagnosis and Treatment
Pravin Narayan Kathavate, L.M.R.J. Lobo, Vijay Anant Athavale, and Amandeep Singh

15. Future Trends in AI and Healthcare
Nighat Manzoor, Sabia Hassan, Javaid Iqbal Bhat, and Kaisar J. Giri

Biography

Dr. Syed Nisar Hussain Bukhari is an accomplished academician and researcher, currently serving as Scientist-D at the National Institute of Electronics and Information Technology (NIELIT), Srinagar-an institute under the Ministry of Electronics and Information Technology (MeitY), Government of India. He brings over 12 years of experience in teaching, research, and institutional leadership, with a specialized focus on artificial intelligence, machine learning, deep learning, and their interdisciplinary applications.

Dr. Bukhari completed his bachelor’s and master’s degrees in computer applications from the University of Kashmir and earned his PhD in machine learning from the University Institute of Computing, Chandigarh University, in 2022. His research contributions have been published in several high-impact journals, including IEEE Transactions, Nature, Springer, MDPI, and so on. In addition to journal publications, his work has been widely cited in international conferences and book chapters.

He has received multiple Best Paper Awards at various international forums and holds patents for his research innovations. His editorial engagements include authoring and editing books published by CRC Press, Taylor & Francis Group. He is a reviewer for leading journals such as Scientific Reports (Nature), Computers in Biology and Medicine (Elsevier), and Briefings in Bioinformatics (Oxford University Press) and regularly serves as a session chair at Scopus-indexed international conferences. He serves as an academic editor for PLOS One—a prestigious, high-impact factor journal—where he contributes to the peer review and curation of highquality interdisciplinary research. Additionally, he served as a guest editor for two thematic collections of the Journal of Visualized Experiments (JoVE) titled “Recent Advancements in Computational Biology and Bioinformatics” and “Next-Gen Computational Techniques in Medical Imaging and Signal Processing,” highlighting his engagement with emerging research trends and editorial leadership in the field.

As a faculty member, Dr. Bukhari has taught a wide range of technical subjects, including machine learning, Python, web technologies, and data structures, to postgraduate students. He has also led training initiatives in artificial intelligence and emerging technologies for engineering students, professionals, and government stakeholders. Dr. Bukhari led the Department of Information Technology at NIELIT Srinagar, where he played a key role in strengthening undergraduate and postgraduate academic programs. He is currently serving as academic head at NIELIT Srinagar and head, Department of Computer Science and Applications, at NIELIT Deemed to be University, Srinagar Campus.

Known for his collaborative spirit, Dr. Bukhari maintains active research partnerships with institutions across India and abroad. He is a member of the Institution of Electronics and Telecommunication Engineers (IETE) and the International Association of Engineers (IAENG). His professional journey reflects a sustained commitment to research excellence, academic mentorship, and the development of impactful, technology-driven solutions.