We present CellNavi, a deep learning framework that predicts driver genes that orchestrate cellular transitions by modelling cell states on a biologically meaningful manifold. We demonstrated how ...
Recent clinical trial data show curative potential of cell therapy for diabetes, however the cells required are a bottleneck. Cell differentiation exhibits substantial variability, even among clones ...
Researchers at the UCLA Health Jonsson Comprehensive Cancer Center have developed a new platform that combines 3D bioprinting ...
A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach ...
Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
Researchers developed a platform combining 3D bioprinting, imaging and AI to monitor drug responses in tumor organoids. It ...
Early results from a UCL- and UCLH-led clinical trial suggest that a type of CAR T-cell therapy—developed by Autolus ...
CD19-CAR T-cell treatment is a novel option of deep B cell depletion with promising results across different rheumatologic and musculoskeletal diseases (RMD). This and other cell-depleting approaches ...
Cell therapy is an advanced biomedical approach that utilizes living cells as therapeutic agents to treat disease or repair tissue. 4 Scientists isolate cells from a patient or a healthy donor and ...
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