Neuroimaging | Wenrui Fan

Foundation-model-boosted multimodal learning for fMRI-based neuropathic pain drug response prediction

Mon, 01 Sep 2025 00:00:00 +0000

We study how foundation models can transfer knowledge from larger, pain-agnostic datasets into small, pain-specific neuroimaging cohorts for drug-response prediction.

Foundation models for data-scarce neuropathic pain research

Mon, 03 Mar 2025 12:00:00 +0000

Neuropathic pain is difficult to treat, and data scarcity makes it challenging to train high-capacity models for drug-response prediction. Our work studies how foundation models can transfer knowledge from larger, pain-agnostic datasets into small, pain-specific neuroimaging cohorts.

The resulting framework combines multimodal information within the target cohort with representations learned from external fMRI data. The paper is available on .

Foundation-model multimodal learning paper available

Mon, 03 Mar 2025 12:00:00 +0000

Our work on is available on arXiv.

Foundation Models for Neuropathic Pain

Mon, 01 Jan 0001 00:00:00 +0000

Neuropathic pain is difficult to treat, while therapeutic response varies substantially across patients. This project combines foundation models and multimodal representation learning to make better use of small neuroimaging cohorts and predict response to treatment.