Recent Progress and Challenges of Artificial Intelligence in Bioinformatics and New Medicine
Dublin Core
Title
Recent Progress and Challenges of Artificial Intelligence in Bioinformatics and New Medicine
Subject
Information technology
Artificial Intelligence
Artificial Intelligence
Description
This Reprint showcases cutting-edge research at the intersection of artificial intelligence (AI), bioinformatics, and new medicine. It highlights recent advances and persistent challenges in leveraging AI to address complex biological and clinical problems, such as multi-omics integration, cancer discovery, single-cell analysis, and network modeling. Contributions include innovative deep learning methods, data mining approaches, and computational tools designed to decode disease mechanisms, identify risk factors, and accelerate translational medicine.
Creator
Tao Wang,
Jiajie Peng
Yongtian Wang
Jiajie Peng
Yongtian Wang
Source
https://mdpi-res.com/bookfiles/book/11580/Recent_Progress_and_Challenges_of_Artificial_Intelligence_in_Bioinformatics_and_New_Medicine.pdf?v=1777511509
Publisher
MDPI - Multidisciplinary Digital Publishing Institute
Date
2025
Contributor
Mustabsyirah
Rights
Creative Commons
Format
PDF
Language
English
Type
Textbooks
Files
Collection
Citation
Tao Wang,
Jiajie Peng
Yongtian Wang, “Recent Progress and Challenges of Artificial Intelligence in Bioinformatics and New Medicine,” Open Educational Resource (OER) - USK Library, accessed May 2, 2026, https://oer.usk.ac.id/items/show/9872.