Can pathological indicators determine severity of bacteremia and/or predict antimicrobial resistant clones?

Can pathological measures such as inflammatory cascades be matched to clinical observations to guide antimicrobial [...]

AI analysis of Antibiotic Prescribing

Antimicrobial resistance is driven high volume, inappropriate prescribing. Antibiotic usage (AU) and antimicrobial resistance (AMR) [...]

Augmented stream learning of medical time series data for continuous outcome prognosis

This project aims to develop novel stream learning algorithms for continuous patient outcome prognosis by [...]

Knowledge Empowered Decision Making in Medical Data Processing

This research project focuses on developing explainable AI solutions to decision support systems, by combining [...]

Using machine learning techniques to help improve intensive care outcomes in traumatic brain injuries

This project aims to develop a real time application for prediction of intensive care outcomes [...]

Artificial Intelligence facilitates ICU Resource Management against Infectious Diseases

Respiratory infections and antibiotic resistance bacterial infection are some of the conditions that have significantly [...]

Safe reinforcement learning for medical applications

This project aims to develop safer and more secure AI decisions-making systems for the medical [...]