SASTRA Hosts AIxLife Conference on Computational Biology
SASTRA Deemed University convened AIxLife 2026, a two-day international conference on AI in life and health sciences, held 17-18 April 2026 in Thanjavur. The hybrid event gathered academics, industry researchers, and students to discuss advances in computational biology across scales, AI-enabled healthcare, and ethical uses of AI. Keynote speakers included senior researchers from SUNY Stony Brook, IIT Madras, NCCS Pune, and other institutes. The program combined plenary talks, poster sessions, and digital proceedings; registration tiers ranged from student to industry rates. For practitioners, AIxLife emphasized cross-scale modeling, interpretability, and translational pipelines connecting models to biomedical data and deployment workflows.
What happened
SASTRA Deemed University hosted AIxLife 2026, a two-day international conference on Advances in Computational Biology Across Scales for Life & Health Sciences, held 17-18 April 2026 in Thanjavur. The hybrid program brought together academic and industry researchers to focus on AI applications across molecular, cellular, and population scales, and to discuss ethics, translational pipelines, and deployment of AI in healthcare.
Technical details
AIxLife 2026 emphasized algorithmic and systems challenges that matter to practitioners, including model interpretability for biomedical data, multi-scale modeling, and integration of heterogeneous data modalities. The event featured plenary lectures, poster sessions, and digital proceedings, and offered tiered registration: faculty/industry $35-$40, research scholars $20-$25, students $15-$20 with early bird and late registration rules. Key invited contributors included senior faculty and researchers whose work spans bioinformatics, biomedical informatics, and systems biology:
- •Prof. Yogesh S. Shouche, Director SKAN Research Trust; Honorary Scientist, NCCS Pune
- •Prof. Ramana V. Davuluri, SUNY Distinguished Professor, Stony Brook Medicine
- •Prof. Karthik Raman, Wadhwani School of Data Science & AI, IIT Madras
- •Dr. Pratik D. Jagtap, Research Assistant Professor, University of Minnesota
Context and significance
The conference maps to a growing trend where mid-size, domain-focused meetings accelerate practical adoption of AI in health by prioritizing reproducibility, dataset curation, and domain-specific evaluation. AIxLife sits between flagship conferences and local workshops, delivering actionably oriented technical exchange for teams building biomedical ML pipelines. Sessions on interpretability, cross-scale integration, and ethical governance align with broader community priorities: making models clinically useful, audit-ready, and interoperable with electronic health record systems.
What to watch
Expect follow-ups in shared benchmarks, public datasets, and collaborative projects between Indian institutes and international partners mentioned at the conference. Practitioners should watch for released proceedings, code, and datasets that could seed reproducible baselines for multi-scale biomedical modeling.
Scoring Rationale
A regional but technically focused conference that advances practical AI-for-health discussions, likely to yield useful benchmarks and collaborations. Timely but not industry-shaking; recent timing reduces score slightly.
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