Identifying potential drug candidates with deep learning virtual screening

The earliest stage of drug discovery is governed by a simple constraint: there are far more possible drug-like molecules than any pharmaceutical laboratory could ever test. A new deep learning system, ...
American Institute of Physics

Using deep learning to better forecast tropical cyclone tracks and intensities

Integrating deep learning with traditional forecasting techniques can improve early warning systems by capitalizing on each approach’s respective advantages.
Science Daily

A geometric deep learning method for decoding brain dynamics

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...
Chromatography Online

AI/ML in Practice: Boudewijn Hollebrands on Deep Learning Models to Predict Food Peptide Retention Times

LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, ...
ascopubs.org

A multimodal deep learning approach for the prognostic stratification of patients with colorectal cancer (CRC).

Safety and biomarker assessment of ST316, a novel peptide antagonist of ß-catenin, in patients with advanced solid tumors. This is an ASCO Meeting Abstract from the 2025 ASCO Gastrointestinal Cancers ...
ascopubs.org

Optimizing chemotherapy decisions in low-resource settings with deep learning: A novel approach for unresectable NSCLC.

Validating a semantic similarity approach for automated data extraction in phase II oncology trials. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...