Use Computer Vision to detect toxic clouds emitted by large factories and report the authorities on the sightings

Construct Computer vision models that estimate the risk for diabetic ulcer formation, as well as highlight areas that indicate the risk.

Infer the circadian rhythm of preterm babies from UMC patients monitoring data and develop ML models to regulate light and sound to improve their development in incubators.

How can we predict the growth of new infections? How do we know if our measures against COVID-19 are working? What are the implications for how the virus is spreading?

Improve the workflow of radiologists by automating lung segmentation in thorax X-rays to detect Covid

Detecting hernia on X-ray images in collaboration with hospital radiologists.

Adapting and evaluating the deterioration index (DI) model to better predict the risk of deterioration of patients in the hospital beds.

Early prediction of the risk of a preterm born baby developing sepsis by extending an existing classification model with more features, exploring more advanced models and developing a new explainable time-series model.

Developing a machine learning model to predict blood values from electrocardiograms as an indication of heart failure.