
@ShahidNShah
Precision medicine recently received a significant boost with the advent of new AI methods, from image analysis to foundation models to LLMs. These innovations enabled medical and biological data analysis to advance further how doctors tailor patients' treatment to their specific biological makeup. Furthermore, AI helps make medicine more personal at creation, reshaping drug development and design, enabling breakthroughs in target identification, and improving the efficacy of clinical trials.Founded in 2018 and headquartered in Tel-Aviv and Chicago, Nucleai is using AI to tackle spatial biology, a multidisciplinary field that studies the arrangement and interactions of biomolecules, cells, and tissues within a three-dimensional context. Initially focusing on oncology drug development, Nucleai’s integration of AI with spatial biology enables biomarker discovery and patient stratification at scale, directly contributing to better response rates in clinical trials, supporting tailored treatment strategies, and optimizing patient outcomes.
At BIOMED 2025, Avi Viedman will moderate a session discussing the current state and potential of foundation models, LLMs, generative AI, and agentic AI in healthcare, and lessons learned from real-world examples. Participants in the panel will include representatives of Viz.ai, which deploys AI to increase the speed of diagnosis and care across 1,700+ hospitals and health systems in the U.S. and Europe; Eleos, developer of an enterprise-grade AI platform in behavioral health; and Laguna, leveraging conversational AI to “make care more human.” Other participants in the session will come from Google, Amazon, and Nvidia, demonstrating the interest, investment, and involvement of established technology companies in healthcare AI.
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