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Ideas worth sharing.

Research, reporting, and ideas at the edges of health, biology, and intelligent systems.

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  1. Clinical & healthResidencyRL: Reinforcement Learning in Simulated Clinical EnvironmentspaperarXiv.org4 minResidencyRL is a reinforcement learning method for training clinical AI agents through simulated, multi-turn patient encounters with adversarial LLM simulators and rewards aligned to diagnostic accuracy, management, communication, documentation, and safety. In held-out evaluations, the agent improved diagnostic accuracy under adversarial conditions, reduced missed red flags, and outperformed the base model across reported clinical benchmarks, though real-world validation remains necessary.Read ResidencyRL: Reinforcement Learning in Simulated Clinical Environments (opens in a new tab)
  2. Clinical & healthSensorFM: Towards a general intelligence and interface for wearable health dataarticleresearch.google10 minGoogle Research presents SensorFM, a foundation model for wearable health data pre-trained on more than one trillion minutes of multimodal sensor data from five million people. The model transfers across 35 health prediction tasks, supports label-efficient adaptation and data infilling, and can help ground a Personal Health Agent in individual physiology.Read SensorFM: Towards a general intelligence and interface for wearable health data (opens in a new tab)
  3. Biology & genomicsAdvancing regulatory variant effect prediction with AlphaGenomearticleNature15 minAlphaGenome interprets the non-coding regions of human and mouse genomes that regulate gene expression, predicting where genes begin and end, RNA output, and splicing behaviour.