Students Present Oxford-Backed Findings For Vironix at ML4H 2025

This December, two exceptional students we collaborated with presented our joint research at ML4H (@Machine Learning for Health) in San Diego — one of the most selective and respected conferences at the intersection of machine learning and healthcare.

The work presented represents months of rigorous research, iteration, and validation, conducted in partnership with University of Oxford. From developing the methodology to refining models and translating results into real-world clinical relevance, this was not easy science — and that’s exactly what makes it meaningful.

ML4H is known for its high bar: submissions undergo intense peer review, and only a small subset is accepted for presentation. Seeing this work shared is a testament to the dedication, technical depth, and persistence behind the research.

We’re proud to support emerging researchers and to contribute to work that advances how machine learning can responsibly improve patient care.

👏 Huge congratulations to the students and collaborators who made this possible - Vasu Venkateshwaran Ankit Gupta Ben Ballyk