Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel reinforcement learning–based generative model to predict neural signals, creating ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Researchers say the deep learning model may help to create leads for new cancer diagnostics, patient stratification, and future therapies.

Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial ...

Steffen Schmitz-Valckenberg, MD, discusses how optical coherence tomography-based models may enable rapid, noninvasive assessment of functional loss in GA at Angiogenesis 2026.

A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...

For monoclonal antibodies (mAbs), traditional design space identification methods typically rely on expensive wet-lab experiments or in silico models that, for low-density data, need improvement. A ...