Results 181 to 190 of about 903,590 (280)

Automated Bacterial Identification and Morphological Feature Analysis in Low‐Dose Cryo‐EM Using YOLOv11

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

A Generative AI Framework to Predict Cardiomyocyte Contraction Function From Single Static Images

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Deep Learning Classification of Pancreatic Cancer Cells Over a Progression of Epithelial to Mesenchymal States by Deformability Cytometry Under Microfluidic Viscoelastic Flows

open access: yesAdvanced Intelligent Systems, EarlyView.
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

MetaPaCS: A Novel Meta‐Learning Framework for Pancreatic Cancer Subtype Identification

open access: yesAdvanced Intelligent Systems, EarlyView.
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]

open access: yesJ Diabetes Sci Technol, 2017
Pfützner A   +5 more
europepmc   +1 more source

AR: An Artificial Intelligence‐Driven Fluorescent Reporter System for Gene Editing Evaluation

open access: yesAnimal Research and One Health, EarlyView.
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]

open access: yesJ Vet Intern Med, 2014
Brito-Casillas Y   +6 more
europepmc   +1 more source

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