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Achieving over 98% accuracy in classifying infected mosquitoes from video frames showcases the power of combining vision and language models for biological analysis.
Despite the promise of transcriptomic models for predicting immunotherapy response, existing models fail to generalize across independent patient cohorts, raising serious questions about their clinical utility.
Achieve more reliable ECG arrhythmia detection with UCTECG-Net, a novel architecture that marries 1D convolutions and Transformer encoders, offering better uncertainty estimates than competing models.
