Supervised agentic AI for precision oncology
A new perspective proposes a Supervisory Reference Architecture that separates worker agents from an oversight meta-agent to make agentic AI ...
A new perspective proposes a Supervisory Reference Architecture that separates worker agents from an oversight meta-agent to make agentic AI ...
A review in Cell Division evaluates AI and machine learning models for pancreatic cancer diagnosis, highlighting their high reliability in ...
A new processing service called SAGE uses collaborative large language model agents to classify, transcribe and fuse multimodal forensic records, ...
A systematic review of 46 studies finds deep learning promising for post-earthquake structural damage assessment, but weak generalisation evidence and ...
Italian researchers have proposed OBESI-NET, a conceptual national AI-supported ecosystem for obesity surveillance and precision medicine that has not yet ...
Food safety monitoring has a data problem that has little to do with how much data exists.
A controlled study of 40 smart home app users found that multimodal behavioral analysis guided prototype redesigns associated with lower ...
A benchmark study found that an AI service hub combining sensor, text and visual data achieved high fault-detection and maintenance ...
A planned three-arm trial will compare simultaneous with two sequential schedules of scalp acupuncture and transcutaneous auricular vagus nerve stimulation ...
An explainable generative deep learning framework called SYNERGY-VAE has uncovered three hidden population subgroups with distinct health signatures and depression ...
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© 2025 Scienmag - Science Magazine