Y L Wu - research works

We used a difference-in-differences design (2019-2021) to compare outcomes for patients attributed to practices with high versus low telehealth uptake before and after the onset of the COVID-19 pandemic across three clinical research networks.

Among 383,570 Medicare fee-for-service patient-quarters with chronic conditions, telehealth use was not associated with changes in preventable emergency department visits or hospitalizations.

Nevertheless, the multi-omics framework yielded superior balance across accuracy and F1 score.

SHAP analysis identified key determinants of treatment response, including CLEC2A, MYH4, and methylation of SYT12_1, with functional enrichment implicating immune regulation, metabolic pathways, and drug resistance signaling.

Experimental validation confirmed six hub genes (CASP8, AQP8, CAV1, FN1, CREB1, KDR), exhibiting expression patterns associated with drug resistance, immune regulation, and prognosis.

Reinforcement learning (RL) offers a promising strategy for autonomous anesthesia control, yet prospective clinical validation remains limited.

We developed an RL-based automated anesthesia system for gastrointestinal endoscopy (AAS-GE) for automated ciprofol delivery and conducted a prospective, multicenter, randomized controlled trial across four centers in China between January 8 and August 27, 2025.