21/04/2026
UY PILIPINS! 🇵🇭
NeuralMechanics is proud to showcase the PreX-DeTech Deep Learning Framework at the ESCMID Global 2026 Congress in Munich, the world's premier infectious disease congress.
NMI Chief Technology Officer Mabel Saludares and Senior Data Scientist Gabs Sison presented the team's development of PreX-DeTech, a highly accurate model for predicting drug-resistant TB using only demographic, medical history, and lifestyle data.
The AI model is an important tool for the overly-burdened Philippine healthcare system. PreX-DeTech allows for the screening of whole communities for drug-resistant TB, allowing health professionals to extend better service for vulnerable communities.
Along with NMI, this research was born through the expertise of the University of California San Francisco (UCSF), the Research Institute for Tropical Medicine, and the UP-NIH National Center for Biosafety and Biosecurity. The research was supported by CRDF Global, DOST, DOH, and KMITS.
Together, we work towards improving healthcare for the people through AI.
Padayon!