Call for AI for Biology Track Papers
Call for AI for Biology Track Papers
Recent advances in machine learning (ML) and artificial intelligence (AI) have enabled remarkable advances in several areas of biology such as protein structure prediction and protein design. We invite the submission of abstracts describing original research contributions in the interface of AI/ML and Biology. These may include the application of AI/ML to address biological questions ("AI for Biology") or the development of AI methods inspired by biological systems ("Biology for AI"). Submissions can range from theoretical contributions to benchmarking, to design, implementation, and results of novel AI/ML methods applied to biological problems.
Abstracts are limited to 250 words and can correspond to recently published/accepted/submitted papers, or ongoing work. All abstracts will undergo rigorous peer review. Authors of all accepted abstracts will present posters at the conference. Selected accepted abstracts will also be invited for flash talks.
Topics of Interest include, but are not limited to these:
- Genomics, proteomics, and transcriptomics
- Structural Biology
- Systems Biology
- Biomedical Image Analysis
- Neuroscience
- Precision medicine and healthcare informatics
- Public health, epidemiology and disease modeling
- Evolutionary and Ecological Modelling
Important dates
All deadlines are Anywhere on Earth (AoE, UTC-1200)- August 13, 2026: Submission of abstracts
- October 6, 2026: Final decision notifications (Accept / Reject)
Submission Link
https://openreview.net/group?id=ACM.org/IKDD/CODS/2026/ConferenceProgram Chairs
- Shaon Chakrabarti, NCBS TIFR
- Shruthi Viswanath, NCBS TIFR