BACKGROUND: Hepatic ischemia-reperfusion injury (HIRI) represents the leading cause of postoperative liver dysfunction and failure. Ammonia-induced cell death (ACD), defined by lysosomal and mitochondrial disruption due to intracellular ammonia accum...
BACKGROUND: Disease outbreaks, particularly cryptocaryoniasis caused by the ciliate Cryptocaryon irritans, pose significant barriers to sustainable marine fish aquaculture, undermining productivity, profitability, and biosecurity. Despite its impact,...
The purpose of this work was to formulate and characterize pH-sensitive, surfactant-based nanomicelles for the targeted delivery of Oxaliplatin to breast cancer cells. A secondary aim was to utilize machine learning (ML) models to interpolate and dis...
PURPOSE: The workflow for virtual surgical planning (VSP) and the application of CAD/CAM (computer-aided design/computer-aided manufacturing) procedures are mainly based on computed tomography (CT) derived DICOM data sets. Alternatively, this study a...
Due to the excellent biocompatibility and adjustability, hydrogels have broadened their application in different fields, such as 3D printing, tissue engineering, drug delivery, and biosensing. However, traditional hydrogel research is confronted with...
Bio-robots, a novel type of robot based on a brain-machine interface, have shown great potential in search and rescue tasks. Current research is focused on the bio-robot itself, such as locomotion, localization and navigation, but lacks interactions ...
Pathogenic bacteria pose serious threats to public health and environmental safety. Conventional colony counting, a standard method for bacterial detection, is time-consuming and unsuitable for rapid on-site detection. In this work, a flexible ACH/Ag...
Mitochondria play essential roles in cellular energy metabolism and biological processes, with their dysfunction implicated in various diseases. Mitochondria-targeted fluorescent probes have thus been developed to sensitively detect metabolites and m...
Machine learning (ML) modeling on mass spectrometry (MS)-based shotgun data facilitates feature selection and disease modeling. However, batch-specific models often struggle with limited transferability and generalizability, necessitating data integr...
Proceedings of the National Academy of Sciences of the United States of America
Nov 25, 2025
Light-field microscopy (LFM) enables high-throughput functional imaging by scanlessly encoding entire volumes in single snapshots. However, LFM's computational burden and vulnerability to scattering limit its application to biological imaging. We pre...
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