Angus Chen covers all issues broadly related to cancer including drugs, policy, science, and equity. He joined STAT in 2021 after covering health and science at NPR and NPR affiliate stations. His ...
This article is based on a poster originally authored by Barbie Wang, Maria Giebler, Adrian Freeman, Karen Hogg, Adam Corrigan and Hitesh Sanganee. This poster is being hosted on this website in its ...
Hosted on MSN
AI can identify genetic perturbations from cell images, offering new path for drug discovery
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 ...
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 ...
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 ...
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 ...
ChromTR, a cutting-edge framework for chromosome detection in metaphase cell images, represents a significant advancement in the field of cytogenetics. This framework, which integrates semantic ...
Researchers developed a new machine learning method that, given a relevant amino acid sequence, can automatically predict the location of a protein in any human cell line down to the single-cell level ...
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