ascopubs.org

Deep learning–based prediction of neoadjuvant therapy response in HER2-positive breast cancer through histopathology images of core biopsies: A multicenter study.

Safety and efficacy of neoadjuvant disitamab vedotin in combination with pertuzumab with or without toripalimab for HER2-positive breast cancer: An open-label phase II trial. This is an ASCO Meeting ...
Hosted on MSN

Self-evolving edge AI enables real-time learning and forecasting in small devices

Researchers from The University of Osaka's Institute of Scientific and Industrial Research (SANKEN) have successfully developed a "self-evolving" edge AI technology that enables real-time learning and ...
EurekAlert!

UOsaka breatkthrough: World’s fastest and most accurate self-evolving edge AI for real-time forecasting

Osaka, Japan - Researchers from The University of Osaka’s The Institute of Scientific and Industrial Research (SANKEN) have successfully developed a groundbreaking “self-evolving” edge AI technology ...
The Lancet

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...
EurekAlert!

Loss functions and constraints improve sea surface height prediction

This figure illustrates the overall framework and loss function design of the proposed Geostrophic-TAU U-Net (GTU-Net) for sea surface height prediction. The upper panel presents the physical ...
Phys.org

Loss functions and constraints improve sea surface height prediction

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or a snapshot of the ocean's surface, including peaks and valleys due to ...