Weimin Tang

TL;DR: A deep learning-based survival model can predict the risk of COVID-19 patients developing critical illness based on clinical characteristics at admission and is used to create an online calculation tool designed for patient triage at admission to identify patients at risk of severe illness.

TL;DR: The pathomics-based deep learning model can effectively predict MSI from histopathology images and is transferable to a new patient cohort and lays the foundation for prospective clinical trials of the application of this artificial intelligence (AI) platform in ICB therapy.

TL;DR: This work proposes a novel pipeline to predict MSI directly from histology slides which represent the gold standard for cancer diagnosis and are ubiquitously available for cancer patients.

TL;DR: An ensemble multiple instance learning (MIL)-based deep learning model to predict MSI status directly from histopathology images and are transferable to a new patient cohort is proposed.