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Intelligent biology and medicine: Accelerating innovative computational approaches
Fuhai Li1,2, Li Liu3,4, Kai Wang5,6
1Institute for Informatics, Data Science and Biostatistics (I2DB), Washington University in St Louis, St Louis, MO 63108, USA.
Computational and Structural Biotechnology Journal
|January 10, 2025
Summary
The 2023 International Conference on Intelligent Biology and Medicine showcased advancements in artificial intelligence (AI) and data sciences for healthcare. Nine selected articles highlight machine learning (ML) and AI applications in the biomedical field.
Area of Science:
- Intelligent Biology and Medicine
- Biomedical Informatics
- Computational Biology
Background:
- The 2023 International Conference on Intelligent Biology and Medicine (ICIBM 2023) convened experts in AI, data sciences, and bioinformatics.
- The conference featured keynotes, scientific sessions, and poster presentations, attracting 88 oral and 46 poster presentations.
Discussion:
- The conference program covered diverse topics including artificial intelligence (AI), data sciences, bioinformatics, computational biology, genomics, and biomedical informatics.
- A total of nine peer-reviewed manuscripts were selected for this special issue, representing cutting-edge research from the conference.
Key Insights:
- Selected articles focus on the methods and applications of machine learning (ML) and AI models within the biomedical domain.
- Research presented spans various applications, demonstrating the growing impact of AI in biological and medical research.
Outlook:
- This special issue provides a snapshot of current trends and future directions in intelligent biology and medicine.
- Continued integration of AI and data science is expected to drive significant advancements in healthcare and biological discovery.
