We propose an architecture for a personal health agent (PHA) that combines machine learning and a Bayesian network for detecting and diagnosing arrhythmia based on electrocardiogram (ECG) characteristics. Focusis placed on atrial fibrillation (AF), the…
Every year more than 1.5 million injuries result from accidental medication errors. Our colleagues explored ways to increase medication safety with real-time imaging and AI.
Rats is a collection of tools to help researchers define and run experiments. It is designed to be a modular and extensible framework currently supporting building and running pipelines, integrating configs and services.
Microsoft Research Forum | Episode 2 | March 5, 2024 Naoto Usuyama proposed GigaPath, a novel approach for training large vision transformers for gigapixel pathology images, utilizing a diverse real-world cancer patient dataset, with the…
Microsoft Research Forum | Episode 2 | March 5, 2024 Microsoft researchers shared their advancements in the fields of foundations models, drug discovery, material design and machine learning. They will highlight how deep learning is…
Microsoft Research and Cyted have collaborated to build novel AI models (opens in new tab) to scale the early detection of esophageal cancer. The AI-supported methods demonstrated the same diagnostic performance as the existing manual…
