Well before the term “personalized medicine” first appeared, the notion of healthcare tailored to the individual loomed on ...
For automated capture of end points, aims were to (1) develop and test methods to collect end point–defining image files for patients participating in clinical trials, (2) develop a data model and ...
AGIBOT World Challenge 2026 tested embodied AI on real robots, with 526 teams competing across reasoning, action, and world-model benchmarks.
Electronic health records (EHRs); insurance claims; patient registries; wearable tech: Never before has health data been so abundant. However, the United States continues to struggle with siloed ...
Huawei Technologies’ initiatives with universities and hospitals embed technology into everyday academic, clinical and ...
Blood-based multi-cancer early detection (MCED) has the potential to simultaneously screen for multiple deadly cancers with high positive predictive value. To assess real-world performance, we ...
Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol (MCP) Server — enabling developers, data scientists, and AI agents to ...
CAR T-cell therapies are individualized treatments approved for multiple hematologic malignancies, with improved management of adverse effects over time. Access to CAR T-cell therapies is limited by ...
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