Cells contain a wealth of information about health and disease, but extracting that data reliably from microscope images remains a major challenge. Many important differences between healthy and ...
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AI algorithm identifies cells across diverse biological images, cutting hours of manual labeling
Imaging is a critical technique in biology—from identifying cancerous cells in biopsies to observing how immune cells like ...
A scientist whose wife has incurable cancer has transformed microscope images of breast cancer cells into large-scale artworks for an exhibition to educate others and show there is "beauty in ...
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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 Barbie Wang, Maria Giebler, Adrian Freeman, Karen Hogg, Adam Corrigan and Hitesh Sanganee. This poster is being hosted on this website in its ...
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 ...
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 ...
Using artificial intelligence, engineers at the University of California San Diego have developed a new way to watch the ...
left, cell family tree depicting DNA damage on the right (P, parental cell; F1, daughter cell generation; F2, granddaughter cell generation) Disclaimer: AAAS and EurekAlert! are not responsible for ...
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