Department of Health

Coupled Reconstruction of 2D Blood Flow and Vessel Geometry from Noisy Images via Physics-Informed Neural Networks and Quasi-conformal Mapping

Abstract. Blood flow imaging provides important information for hemodynamic behavior within the vascular system and plays an essential role in medical diagnosis and treatment planning. However, obtaining high-quality flow images remains a significant challenge. In this work, we a...

Dual‐Function Enhancement of PVDF Nanofibers via Bimetallic MOF for Wearable Pressure Sensor and AI‐Driven Non‐Invasive Blood Pressure Prediction

ABSTRACT Engineering high‐performance wearable piezoelectric sensors requires concurrent optimization of β‐phase crystallinity and conductive pathways, a persistent materials‐level challenge. Here, we introduce a novel two‐stage amplification strategy employing a Zn/Cu bimetallic...

AI-supported extraction of functional tissue unit properties for Human Reference Atlas construction

Abstract The Human Reference Atlas (HRA) effort brings together experts from more than 25 international consortia to capture the multiscale organization of the human body—from large anatomical organ systems (macro) to the single-cell level (micro). Functional tissue units (FTU, m...

Sample-to-Answer Quantitative Rapid Test for Point-of-Care Monitoring of Urinary Cystatin C Levels

Abstract Urinary cystatin C (uCysC) has emerged as an endogenous biomarker for renal impairment. In managing renal pathologies, early screening and monitoring of disease progression are crucial for both at-risk individuals and diagnosed patients. The ultimate goal is to prevent a...

Chemistry‑Driven Engineering of PEDOT:PSS Hydrogels for Next‑Generation Bioelectronic Interfaces

ABSTRACT Poly(3,4‐ethylenedioxythiophene): polystyrene sulfonate (PEDOT:PSS) hydrogels have emerged as a versatile class of mixed ionic‐electronic conductors for next‐generation bioelectronic interfaces, owing to their unique combination of high conductivity, mechanical complianc...