we presented a dimensionality-reduction framework for multimodal microscopy that integrates information from different imaging modalities into a shared low-dimensional manifold and demonstrated its effectiveness for live/dead cell phenotyping.

We developed an open-source ECG-based machine learning pipeline to distinguish hypertrophic from dilated cardiomyopathy subtypes using standard and vectorcardiogram features.

We propose a snapshot hyperspectral imaging method using randomized aperture codes and implicit neural representations.

We reviewed recent advances in self-powered wearable devices, covering energy harvesting techniques, power management, and their application in long-term health and wellness monitoring.