State predicts cellular responses to perturbations across diverse contexts with over 30% improved accuracy on large datasets.
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State predicts cellular responses to perturbations across diverse contexts with over 30% improved accuracy on large datasets.
Celldetective, an AI-powered image analysis tool, enables detailed study of immune cell interactions with high accuracy in 2D time-lapse microscopy.
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ArchMap enables accessible, no-code reference-based analysis of single-cell datasets, democratizing the use of comprehensive atlases for researchers worldwide.
SynthIDBio enables function-preserving watermarking of AI-generated proteins with near-perfect detection accuracy, ensuring provenance in biological engineering.
Reproducibility in biomedical research remains inconsistent despite its critical role in ensuring scientific credibility and public trust.
FoldMark achieves over 95% watermark accuracy at 32 bits in protein generative models without compromising structural quality.
ConvexGating automatically infers interpretable gating strategies with high accuracy for cell sorting from single-cell cytometry data, including unknown populations, enabling practical implementation.
CROWN achieves over 95% accuracy in 48 cytology classification tasks, establishing a universal visual backbone for computational cytopathology.
scBaseCount is the largest public repository of single-cell gene expression data, containing over 502 million cells from 27 organisms and 75 tissues, standardized through AI automation.
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