ATHENA-R1 is an RL-trained agent using 212 biomedical tools that achieves 94.7% accuracy on drug reasoning and 82.9% on treatment reasoning tasks, outperforming GPT-5 by 17.8 and 10.7 points respectively.
Journal of the American College of Cardiology 79, e263–e421
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A latent ODE plus graph autoencoder encodes 3D+t ventricular motion from cine MRI; deviations from a covariate prior improve heart failure risk prediction over standard markers in UK Biobank data.
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An AI agent for treatment reasoning over a biomedical tool universe
ATHENA-R1 is an RL-trained agent using 212 biomedical tools that achieves 94.7% accuracy on drug reasoning and 82.9% on treatment reasoning tasks, outperforming GPT-5 by 17.8 and 10.7 points respectively.
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A Latent ODE Approach to Spatiotemporal Modeling of Cine Cardiac MRI
A latent ODE plus graph autoencoder encodes 3D+t ventricular motion from cine MRI; deviations from a covariate prior improve heart failure risk prediction over standard markers in UK Biobank data.