Single-cell analysis is reshaping drug discovery, but interpretation remains slow. AI single cell approaches may close the ...
Lightcast raises $27M in funding to enhance functional single-cell analysis and drive innovation in biotech and drug ...
Automate real-time, label-free cell assays with Maestro TrayZ. Capture dynamic cellular responses with high sensitivity and ...
Cervical squamous cell carcinoma (CESC), the most prevalent subtype of cervical cancer, remains a major global health burden driven primarily by persistent high-risk HPV infection and genetic ...
In this webinar, Zivjena Vucetic will discuss how single-cell sequencing improves measurable residual disease detection (MRD) ...
6don MSN
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 ...
New confocal fluorescence imaging minimizes photobleaching and phototoxicity effects, capturing clear images of live 3D culture Industry-leading throughput enables real-time analysis of up to six ...
The University of Hong Kong has developed MorphoGenie, an interpretable AI that analyzes cell images to identify patterns linked to cell identity, state, and behavior. Unlike conventional black-box ...
Oregon Health & Science University researchers have developed a first-of-its-kind method to predict cancer patient survival ...
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