Tech.AI.BioMed is the vertical arm of Tech.AI specializing in the use of Artificial Intelligence in life science and medicine
Tech.AI.BioMed’s mission is to promote research, knowledge-creation and collaboration in AI between Technion investigators both internally and with external partners in academia and industry.
BIO-MED INITIATIVES
Advances in Deep Learning: Transformers
The Transformer architecture has emerged as a groundbreaking deep learning model, revolutionizing various domains with its powerful representation of…
Advanced Graph Search Course
Graph search algorithms are at the core of many real-world problems, from robot motion planning to transformer decoding and large-scale path planning…
AI & BEYOND 2025
We are pleased to invite you to our upcoming Tech.AI Robotics Conference on February 5, 2025. This event will be a unique opportunity to explore the…
ICML 2024
Tech.AI is thrilled to announce the acceptance of our researchers’ groundbreaking papers at the prestigious International Conference on Machine…
Artificial Intelligence and Higher Education – Where Are We Headed?
Prof. Ido Roll: Associate Professor and Senior Vice Provost for the Advancement of Learning and Teaching, Faculty of Education in Science and…
ZIMIN INSTITUTE
Data-Driven Acceleration that impacts Healthcare
Non-for-profit organization established by the Zimin Family with the aim to support education and science.
ProfessorTechnion Faculty of Medicine, Co-Director, Tech.AI
Shai is an Associate Professor at the Technion’s Faculty of Medicine, working in the fields of Computational Biology, Systems Immunology & Precision Medicine. He has been developing machine learning to study the drivers of immune variation, particularly in the context of aging, and to further Immune-based Precision Medicine.
Shai directs Tech.AI.BioMed and heads the Zimin Institute for AI solutions for healthcare. He is the founder and Chief Scientist of CytoReason, a PharmaAI company developing a machine learning model of human disease aimed at closing the data-insight gap in drug development.