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Advancing Clinical Genomic Analysis with a Skill-Centred Agent

Paper recorded by Signals 4 on 2026-10-29 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-29 on arXiv · recorded by Signals 4 on 2026-10-30

Category: cs.AI · 人工智能 · first seen 2026-10-30

Abstract

Clinical genomic analysis requires experts to integrate evolving guidelines, databases, and computational evidence. As sequencing has become increasingly accessible, this complex and labor-intensive process has become a major bottleneck to the timely use of genomic information in clinical decision-making. To fill this gap, we developed ClinGeX, a large-language-model agent that composes 105 curate

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#75 most recent of 920 cs.AI papers we have recorded · ↑ newer: FARMS: A Verifiable Foundation for Automated Computational Science · ↓ older: Ramanujan Challenge Results: AI-Assisted Evaluation Pipeline for Multi
Cite this page: Advancing Clinical Genomic Analysis with a Skill-Centred Agent: the #75 most recent of 920 cs.AI papers we have recorded (as of 2026-10-29). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/advancing-clinical-genomic-analysis-with-a-skill-centred-agent.html
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