Functional Data Analysis (FDA) is an increasingly central statistical framework that extends conventional data analysis to observations recorded as functions, curves or shapes. This approach ...
Molecular Correlates of Long-Term Response to Bevacizumab in Glioblastoma Recurrent nonkinase domain FGFR VUS variants were collected from the Catalog of Somatic Mutations in Cancer and their ...
Morning Overview on MSN
New protein method generates 10M data points in 3 days, boosting AI models
A team at Rice University has built a lab platform that can map the activity of more than 10 million protein variants in a ...
Multiple research fronts saw major advances on April 24, 2026, with AI models driving new capabilities in protein interaction prediction, automated protein design, and earthquake engineering ...
The advent of single-cell omics technologies has revolutionized our understanding of the complex cellular landscape in cancer. Traditional bulk sequencing ...
Prognostic Significance of Isolated Tumor Cells and the Role of Immunohistochemistry in Nodal Evaluation in Breast Cancer: A SEER-Based Analysis and Reappraisal We used Monte Carlo simulation methods ...
CNS-3D Brain Organoids Predict Clinical Seizure Liability Central nervous system (CNS) toxicity accounts for 25% of safety ...
Behavioral information from an Apple Watch, such as physical activity, cardiovascular fitness, and mobility metrics, may be more useful for determining a person's health state than just raw sensor ...
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