Hypothesis: Compared to traditional statistical methods, machine learning models will significantly improve the accuracy of Type 2 Diabetes prediction.
Hypothesis: Combining digital pathology with spatial transcriptomics/genomics can unveil molecular level insights & help elucidate the host response to pneumonia.
We hypothesize that by utilizing CatBoost and Convolutional Neural Networks (CNNs), biomarker and electrocardiogram-based machine learning models can predict whether a patient has coronar...
