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

Sep 1, 2025·
Wenrui Fan
Wenrui Fan
,
L. M. Riza Rizky
,
Jiayang Zhang
,
Chen Chen
,
Haiping Lu
,
Kevin Teh
,
Dinesh Selvarajah
,
Shuo Zhou
· 1 min read
Abstract
A foundation-model-boosted multimodal framework for predicting neuropathic pain drug response from data-scarce functional MRI cohorts.
Type
Publication
Medical Image Computing and Computer Assisted Intervention — MICCAI 2025
Status
Peer-reviewed Open access
publications

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

Multimodal Learning Medical AI Neuroimaging Foundation Models
Wenrui Fan
Authors
Wenrui Fan (he/him)
AI Research Engineer & PhD Student
Wenrui Fan is an AI Research Engineer and PhD student at the University of Sheffield, supervised by Prof Haiping Lu. His research focuses on multimodal AI, AI for science, agentic AI, AI for healthcare, biomedical AI, and AI-driven protein design.