Article

BioMarkAdapt: A Dynamic, Continual, and Interpretable Framework for Adaptive Biomarker Discovery

2026-03-09

Abstract excerpt

The dynamic and multifaceted nature of diseases necessitates flexible and interpretable computational models for biomarker discovery. However, existing methods predominantly rely on static prediction paradigms, fail to adapt continuously to new tasks without forgetting prior knowledge, and lack transparent, task-aware explanations. To address these limitations, we introduce BioMarkAdapt, a novel framework for inte...

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Literature Corpus work: ff6cd78d-dc64-508a-a483-ac6b2be3aaf4
DOI: 10.20944/preprints202603.0622.v1

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