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 ...

Pengwei Zhu Highlights the Role of Deep Statistical Machine Learning in Asthma Research and Target Discovery

A study on high-concurrency payment systems proposes a distributed architecture with layered consistency control to ...
Nature

Multimodal deep learning of fundus abnormalities and traditional risk factors for cardiovascular risk prediction

Cardiovascular disease (CVD), the leading cause of death globally, is associated with complicated underlying risk factors. We develop an artificial intelligence model to identify CVD using multimodal ...
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 ...
News-Medical.Net

Deep learning framework improves vascular cognitive impairment diagnosis

Subcortical ischemic vascular disease (SIVD), driven by cerebral small vessel disease, is commonly characterized by white matter hyperintensities and multiple lacunar infarcts, and a substantial ...
technologynetworks

Deep Learning in High-Content Screening Imaging

Deep learning high-content imaging is rapidly reshaping image-based screening in the modern laboratory environment. As high-content screening (HCS) generates increasingly large and complex datasets, ...