8d ago
Macrophage signature-based prediction of cancer treatment response using MIL-attention
Madgwick · M. · Witham · S. · Occhetta · M. · Haneklaus · M. · +6 more
Abstract
Predicting immunotherapy response from single-cell data remains difficult due to patient-level labels, extreme class imbalance, and highly heterogeneous macrophage states. We present a Multiple Instance Learning (MIL) framework that treats each patient as a bag of macrophage embeddings derived from a single-cell RNA foundation model. The architecture incorporates an attention-based pooling mechanism with reduced model complexity, dropout-enhanced regularization and explicit attention penalties t
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