Tag
Talos is an open-source tool for automated, iterative genomic reanalysis that resolves the bottleneck of human review time, recovering 90% of diagnoses while surfacing only 1.3 candidate variants per patient.
This paper presents RaDaR, a 32B open-source reasoning LLM trained on public and synthetic rare disease cases, which outperforms larger models like DeepSeek-R1 in diagnosis benchmarks and improves physician accuracy by 21.44 percentage points in a randomized trial.
OpenAI highlights how o3 Deep Research can aid rare disease diagnosis by integrating clinical features, inheritance patterns, variant evidence, and scientific literature into actionable hypotheses for specialists.
MedLatentDx proposes a latent multi-agent communication framework for cross-hospital rare-disease diagnosis, using latent KV blocks to share diagnostic evidence without exposing clinical text, and introduces the CrossRare-Bench benchmark.
Boston Children's Hospital has integrated AI across its clinical and operational infrastructure, using a secure ChatGPT environment to diagnose over 40 rare conditions, reduce operational costs, and improve care delivery.