Jun-Wen Wang

Artificial intelligence-assisted detection of oral cancer and oral potentially malignant disorders on smartphone images: a systematic review and meta-analysis.

BACKGROUND Accurate early diagnosis of oral cancerous lesions is critical for effective treatment and reliable prognosis prediction. With technological advancements, artificial intelligence (AI) has been proposed as a transformative tool for cancer detection, utilizing the analysis of digitized dental photographs to im...

Structural–functional calibration corrects single-neuron identity errors in volumetric calcium imaging

Multi-model biological and sequence information fusion for gene regulatory network inference from single-cell transcriptomics

Identification of transcription factor–target gene interactions and construction of the gene regulatory networks (GRNs) are essential for understanding the molecular mechanisms underlying transcriptional gene regulation. Large-scale single-cell transcriptomics across different tissues offers unprecedented resolution of...

DDI-MMAF: Multi-modal affine fusion of visual and semantic representations for anticancer drug synergy prediction.

DDI-MMAF is proposed, a lightweight cross-modal framework that avoids using explicit high-dimensional omics profiles as direct model inputs and enables accurate synergy prediction from raw minimalist inputs, offering a practical and efficient computational solution for cost-effective drug combination discovery.