Nature

Development and validation of a deep learning model to predict axial length from ultra-wide field images

To validate the feasibility of building a deep learning model to predict axial length (AL) for moderate to high myopic patients from ultra-wide field (UWF) images. It is feasible to utilize deep ...
Nature

Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology

A model’s ability to express its own predictive uncertainty is an essential attribute for maintaining clinical user confidence as computational biomarkers are deployed into real-world medical settings ...
ascopubs.org

Real-world and clinical trial validation of a deep learning radiomic biomarker for PD-(L)1 immune checkpoint inhibitor response in stage IV NSCLC.

Multimodal artificial intelligence models from baseline histopathology to predict prognosis in HR+ HER2- early breast cancer: Subgroup analysis. This is an ASCO Meeting Abstract from the 2024 ASCO ...
ascopubs.org

Development, comparative study, and external validation of a new deep learning model for predicting genome-wide gene expression from histopathology slides.

Analytical validation of the Labcorp Plasma Complete test to enable precision oncology through solid tumor liquid biopsy comprehensive genomic profiling. This is an ASCO Meeting Abstract from the 2024 ...