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Pan-Infection Foundation Model with Knowledge Distillation for Host-Response Pathogen Diagnosis

A diagnostic modeling strategy that trains one broad host-response classifier on pooled blood-transcriptome data across many infections, then distills it into small pathogen-specific models. A student learns how a foundation-then-distill pipeline transfers diagnostic knowledge from a large teacher to deployable lightweight classifiers.

Dr. Theopolis Text

Pan-infection Foundation Framework Enables Multiple Pathogen Prediction Lingrui Zhang1#, Haonan

The paper builds a 'pan-infection' machine-learning diagnostic that classifies infection from the host's blood gene-expression (transcriptome) response rather than from detecting the pathogen directl…