Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...
Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...
Abstract: In recent years, the missing data problem in multi view multi-label classification (MvMlC) has attracted extensive attention from researchers, with numerous solutions for partial multi-view ...
Agentic AI is the tech industry’s newest success story, and companies like OpenAI and Anthropic are racing to give enterprises the tools they need to create these automated little helpers. To that end ...
Anthropic PBC sued the Defense Department for declaring that the artificial intelligence giant posed a risk to the US supply chain, further ramping up a high-stakes dispute with the Pentagon over ...
Accurate classification of tobacco leaf diseases is critical for objective disease assessment and management. However, traditional manual observation methods are inherently subjective, and ...
A meta-analysis of cohort studies assessing FLOT regimen in the treatment of esophageal cancer. Tislelizumab (TIS) + chemotherapy (CT) vs placebo (PBO) + CT as first-line treatment for locally ...
Production multi-label tag classification for Russian news (141 labels, snippet-aware). Reproducible model zoo, threshold optimization, and live deployment. Requires ...
Abstract: This is a simulation study created to provide insights into using deep learning models to improve Vehicle-To-Everything (V2X) communications security by classifying the types of messages ...
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