Researchers at the Paul Scherrer Institute PSI have developed an AI that could open up a new, cost-effective approach to identifying genetic perturbation patterns in cell images—potentially enabling ...

Cells are crowded, dynamic places where thousands of molecules interact in tight quarters. Until now, scientists lacked a ...

Angus reports on the basic research, clinical science, and drug development that may transform survival and quality of life for patients, as well as developments affecting the cancer community. You ...

This article is based on a poster originally authored by Yongyang Huang, Ning Guo, Mackenzie Pierce, Leo Chan, Bo Lin and Yi Yang, which was presented at ELRIG Drug Discovery 2024 in affiliation with ...

Gene mutations in acute myeloid leukemia (AML) cells can guide treatment options, and machine learning can rapidly guess the existence of gene mutations based on images of leukemia cells. To solve ...

Nikon just announced the winners of the 2024 Nikon Small World Photomicrography Competition, where scientific microscope images become art. This year’s top prize went to Bruno Cisterna, who (assisted ...

A research team led by Professor Kevin Tsia, program director of the Biomedical Engineering Program under the Faculty of Engineering of the University of Hong Kong (HKU), has developed an AI-driven ...

Most potential oncology drugs fail during the drug development pipeline, even when there has been promising data for their efficacy during the in vitro stage. This makes it vital to identify in vitro ...