A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

The following is a summary of “Development and External Validation of a Detection Model to Retrospectively Identify Patients ...

The Mining Lab aims to build statistical models to tackle hard learning problems with limited labels in knowledge-rich domain (e.g., medicine and bioinformatics). Two central research themes: - ...

Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts.

They created a “periodic table” of over 20 classical machine-learning algorithms, showing how they are all connected through ...

Creating a purpose-built repository of standardised reaction data is a tall order, but the reward would be huge ...

In the ever-growing field of machine learning, one of the most significant challenges is making complex models interpretable and accessible. Enter AutoXplainAI, an innovative framework developed by ...

Tempus AI has signed a three-way deal with AstraZeneca and Pathos AI to construct a data-based oncology model that could ...