AI & ML impact 16

Lightweight Retrieval-Augmented Generation and Large Language Model-Based Modeling for Scalable Patient-Trial Matching

Lightweight Retrieval-Augmented Generation and Large Language Model-Based Modeling for Scalable Patient-Trial Matching arXiv:2604.22061v1 Announce Type: cross Abstract: Patient-trial matching requires reasoning over lon…

Why it matters

The timing matters: patienttrial is converging with shifts in matching, which could amplify the downstream impact.

Read full article at arXiv AI →

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