Researchers at UMass Amherst have combined high-throughput laboratory screening with an AI neural network to identify ...
Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
Nous Research has released Hermes Mixture of Agents 2.0 (MoA 2.0), an update to its open-source Hermes Agent framework that ...
A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
Pediatric hospital medicine is rapidly advancing with new research focusing on clinical management, quality improvement, health equity, and technology. This summary highlights the top articles from ...
Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...
ZoomInfo's verified company, contact, and signal data now flows natively into the Databricks lakehouse through GTM.AI, so every model, score, ...
Mayo Clinic plans to develop and deploy a frontier AI model specifically designed for healthcare in collaboration with Microsoft. The strategic collaboration combines Mayo Clinic’s global healthcare ...
A retrospective study of donafenib with or without TACE as postoperative adjuvant therapy for hepatocellular carcinoma (HCC) patients at high risk of recurrence after radical resection. This is an ...
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