AI4LifeSciences
We invite submissions to the 2nd International Conference on AI for Science (AI4Sci 2026), welcoming abstracts on applications of artificial intelligence in and for science. AI4Sci 2026 is part of the AI4Science Week and co-located with the 29th International Conference on Discovery Science (DS 2026). AI4Sci features separate AI4Physics, AI4Chemistry&Materials, AI4LifeSciences, and AI4Humanities&SocialSciences tracks dealing with applications of AI and Machine Learning in a variety of different fields. Contrary to DS 2026, the AI4Sci tracks are non-archival and also suited to ongoing or already published work.
The AI4LifeSciences Track of AI4Sci 2026 invites contributions on topics such as, but not restricted to:
- (innovative) theoretical and analytical applications of AI in the Life Sciences and critiques thereof, for example concerning AI in predictive modeling, structural biology (e.g., protein folding), and tools for high-throughput empirical research (e.g., sequence analysis or systems biology).
- ethical and data sovereignty dimensions of the use of AI in the Life Sciences, not least in cases involving sensitive genomic or clinical data, where AI may lead to new challenges (e.g., the ethical boundaries of AI in synthetic biology, algorithmic bias in healthcare diagnostics, or patient data privacy).
- innovative data analysis and pattern recognition of complex biological systems, for example, multimodal AI in medical imaging, multi-omics integration, and vector-based representation of biomolecules.
- AI applications close to the methodological frontier in translational and applied areas linked to the Life Sciences, e.g., drug discovery and repurposing, precision medicine, epidemiological forecasting, digital pathology, smart biomonitoring, etc.
- (innovative) presentation, visualization, and dissemination of Life Sciences research with the help of AI, for example, interactive mapping of complex biological networks or AI-assisted scientific communication.
- (innovative) approaches to the inclusion of stakeholders from outside academia in biomedical and ecological research, for example, involving patient advocacy groups in AI model development or citizen science initiatives in biodiversity tracking.
The talks of the track will be 15 minutes long, followed by 5 minutes of Q&A.
Submission Procedure
Submitted abstracts must be written in English and should not exceed 500 words, excluding references. The reviewing process will be single-blind. Thus, the submitted abstracts should not be anonymized.
The abstract should be entered in the field "Abstract" of the CMT system directly. Please use the PDF upload for potential supplementary material, for instance, of an already published paper based on which you want to give a talk at the track.
If accepted, we will ask you to submit a two-page PDF of the abstract in Springer LNCS style. A book of abstract will be provided at the conference. Publication of the book of abstracts at, e.g., https://pos.sissa.it/ or https://ceur-ws.org/ is under discussion with the track chairs.
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
Please submit your contributions at:
https://cmt3.research.microsoft.com/AIforSci2026/.
When submitting, please choose the track "AI4LifeSciences".
The timeline for AI4Sci 2026 is as follows:
- CMT submission system opens: May 8th, 2026
- Abstract submission deadline: June 12th, 2026
- Notification of acceptance or rejection: July 21st, 2026
All deadlines are 23:59 AOE.
Track chairs
Sebastian Vollmer
DFKI/RPTU Kaiserslautern-Landau
sebastian.vollmer@dfki.de
Yana Bromberg
Emory University
yana@bromberglab.org