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  AI×Life 2026: Advances in Computational Biology Across Scales for Life & Health Sciences

  Suma Mohan S., Devika N. T., and Pranavathiyani G.

  Book of Abstracts of the International Conference, AIxLife 2026: Advances in Computational Biology Across Scales for Life & Health Sciences, held on 17–18 April 2026, SASTRA Deemed to be University, Thanjavur, Tamil Nadu, INDIA
  
  About the Conference

  Conventional computational biology laid the foundation for biological data analysis through statistical models, algorithms, and curated databases, enabling insights into genes, proteins, and pathways. Today, the integration of artificial intelligence, spanning machine learning, deep learning, and large language models (LLMs) is driving a transformative shift across biological scales, from atomic and molecular interactions to pathways, cellular systems, organisms, and populations.

  AI-powered approaches now enable predictive modeling, multi-omics integration, automated knowledge synthesis, and hypothesis generation at unprecedented scale and speed. This paradigm shift is redefining life and health sciences by accelerating discoveries in precision medicine, drug development, diagnostics, and public health, while bridging the gap between fundamental biology and real-world impact.

  AI×Life 2026 brings together leading researchers, practitioners, and students working at the intersection of artificial intelligence and computational biology. This international conference addresses critical challenges across molecular, cellular, and systems-level biology through innovative computational approaches.