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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.
Achieving nearly 89% accuracy in detecting dengue-infected mosquitoes, this framework redefines feature extraction in complex video environments.
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.
