AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula +10 more
wiley +1 more source
Glucose Meters for Self-Monitoring: Quality Control in Point-of-Care Testing Mode in Hospital Wards. [PDF]
Kościelniak BK, Mrózek B, Tomasik PJ.
europepmc +1 more source
A Generative AI Framework to Predict Cardiomyocyte Contraction Function From Single Static Images
A single static hiPSC‐cardiomyocyte image is fed into a U‐Net‐GAN framework, which directly predicts a pixel‐resolved contraction heatmap without time‐lapse imaging. StyleGAN2‐generated synthetic cell–heatmap pairs augment training, improving prediction fidelity (SSIM = 0.84).
Andrew Kowalczewski +5 more
wiley +1 more source
Demonstration of disinfection procedure for the development of accurate blood glucose meters in accordance with ISO 15197:2013. [PDF]
Lin SP, Lin WY, Chang JT, Chu CF.
europepmc +1 more source
Cancer cells progressively spread over intermediate epithelial‐to‐mesenchymal transition states that cause nuclear enlargement and circular redistribution of filamentous vimentin are classified by deformability cytometry coupled to a multi‐region deep learning model with convolutional feature extraction and attention‐based regional aggregation.
Javad Jarmoshti +8 more
wiley +1 more source
Control Solutions for Blood Glucose Meters: A Neglected Opportunity for Reliable Measurements? [PDF]
Heinemann L.
europepmc +1 more source
MetaPaCS: A Novel Meta‐Learning Framework for Pancreatic Cancer Subtype Identification
We have developed MetaPaCS, an ensemble meta‐learning framework for reliable prediction of pancreatic cancer subtypes with high accuracy. MetaPaCS is capable of capturing subtype‐specific distinct gene expression patterns and drug‐disease associations for pancreatic cancer.
Nick B. Peterson +4 more
wiley +1 more source
Impact of Xylose on Glucose-Dehydrogenase-Based Blood Glucose Meters for Patient Self-Testing. [PDF]
Pfützner A +5 more
europepmc +1 more source
AR: An Artificial Intelligence‐Driven Fluorescent Reporter System for Gene Editing Evaluation
The AR platform integrates an enhanced dual‐fluorescence reporter with the EasyReporter AI pipeline for efficient gene‐editing evaluation. It enables automated, high‐throughput quantification and intelligent interpretation across diverse gene‐editing systems and cellular contexts. The gene‐editing elements were created with BioGDP.com.
Mingming Xue +17 more
wiley +1 more source
ISO-based assessment of accuracy and precision of glucose meters in dogs. [PDF]
Brito-Casillas Y +6 more
europepmc +1 more source

