River Publishers Series in Biomedical Engineering
Generative AI in Neurodegenerative Disorders: Innovations, Views, and Obstacles
1st Edition
Edited
By Anindya Nag, Md. Mehedi Hassan, Asif Karim, Kishor Kumar Reddy C
October 14, 2025
This book delves into the transformative power of AI in the realm of neurodegenerative diseases,covering topics such as ALS, Huntington’s, Parkinson’s, and Alzheimer’s. Generative AIprovides new opportunities for early diagnosis, precise therapy, and individualized rehabilitation,which are crucial ...
Cutting-edge Technologies in Biological Sensing and Analysis
1st Edition
Edited
By Anh Hung Nguyen, Sang Jun Sim, Hung Cao
February 06, 2024
Advanced technologies have been transforming the ways we carry out biological studies as well as deliver healthcare. While micro- and nano-fabrication have provided miniaturized sensors and systems with better sensitivity and selectivity,; innovations in flexible electronics, biomaterials and ...
Big Data in Oncology: Impact, Challenges, and Risk Assessment
1st Edition
Edited
By Neeraj Kumar Fuloria, Rishabha Malviya, Swati Verma, Balamurugan Balusamy
December 21, 2023
We are in the era of large-scale science. In oncology there is a huge number of data sets grouping information on cancer genomes, transcriptomes, clinical data, and more. The challenge of big data in cancer is to integrate all this diversity of data collected into a unique platform that can be ...
Explainable Artificial Intelligence for Biomedical Applications
1st Edition
Edited
By Utku Kose, Deepak Gupta, Xi Chen
December 14, 2023
Since its first appearance, artificial intelligence has been ensuring revolutionary outcomes in the context of real-world problems. At this point, it has strong relations with biomedical and today’s intelligent systems compete with human capabilities in medical tasks. However, advanced use of ...
Deep Learning for Healthcare Decision Making
1st Edition
Edited
By Vishal Jain, Jyotir Moy Chatterjee, Ishaani Priyadarshini, Fadi Al-Turjman
February 10, 2023
Health care today is known to suffer from siloed and fragmented data, delayed clinical communications, and disparate workflow tools due to the lack of interoperability caused by vendor-locked health care systems, lack of trust among data holders, and security/privacy concerns regarding data sharing...