Is there an automated workflow anywhere that converts API docs found online into markdown files?.

BriefContext is a new map-reduce workflow that boosts medical QA accuracy by fixing the “lost-in-the-middle” issue in RAG without retraining models. Adding query salience cues and fact verification could further enhance reliability in clinical settings.

I built a web app that is almost ready to launch. What do I use for deployment + security?.

The Chan Zuckerberg Initiative released TranscriptFormer, a cross-species generative cell atlas mapping cell diversity across 1.53 billion years, enabling zero-shot biological discovery. Adding interpretability tools could further unlock insights into gene regulatory programs

MIT's CircTrek is the first wearable device for real-time, single-cell tracking of circulating cells, enabling continuous cancer and therapy monitoring. Future versions could integrate CMOS photonics and microfluidics to enhance miniaturization and multiplexing.

forward deployed engineers are the future for AI.

Harvard and Mass General developed FaceAge, the first clinically validated DL model predicting biological age from face photos to improve cancer prognosis. Wider multi-omic datasets and federated learning could further enhance its clinical utility.

someone should build an agent that writes and runs cursor prompts for you haha. vibe codig maxxing.

This meta-prediction framework combines polygenic risk scores with clinical + lifestyle factors to deliver personal CAD risk estimates, beating standard clinical scores across diverse populations. Integrating EHR time-series with sequence models could enhance early risk detection

AutoCAR enables real-time 3D cardiovascular reconstruction from sparse-view X-ray angiography, reducing radiation exposure 66× while matching clinician-level accuracy. Adding uncertainty estimates could further boost trust in ambiguous reconstructions.

CHIMERYS is a spectrum-centric search algorithm that unifies peptide identification and quantification across DDA, DIA, and PRM, outperforming leading tools. Expanding fragmentation models and adding neural pre-scoring could further enhance scalability and coverage.

ScMultiSim generates integrated single-cell multi-omics and spatial data by modeling gene regulatory networks, cell–cell interactions, and chromatin accessibility over 144 configurable datasets. Adding de novo kinetics with gen models could capture more complex biological pattern