AIMC Topic: Mice
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An end-to-end pipeline based on open source deep learning tools for reliable analysis of complex 3D images of ovaries.
Development (Cambridge, England)
Apr 3, 2023
Computational analysis of bio-images by deep learning (DL) algorithms has made exceptional progress in recent years and has become much more accessible to non-specialists with the development of ready-to-use tools. The study of oogenesis mechanisms a...
Machine learning-assisted data filtering and QSAR models for prediction of chemical acute toxicity on rat and mouse.
Journal of hazardous materials
Apr 1, 2023
Machine learning (ML) methods provide a new opportunity to build quantitative structure-activity relationship (QSAR) models for predicting chemicals' toxicity based on large toxicity data sets, but they are limited in insufficient model robustness du...
Tough, Recyclable, and Degradable Elastomers for Potential Biomedical Applications.
Advanced materials (Deerfield Beach, Fla.)
Mar 31, 2023
Elastomers have many industrial, medical and commercial applications, however, their huge demand raises an important question of how to dispose of the out-of-service elastomers. Ideal elastomers that are concurrently tough, recyclable, and degradable...
Active mesh and neural network pipeline for cell aggregate segmentation.
Biophysical journal
Mar 30, 2023
Segmenting cells within cellular aggregates in 3D is a growing challenge in cell biology due to improvements in capacity and accuracy of microscopy techniques. Here, we describe a pipeline to segment images of cell aggregates in 3D. The pipeline comb...
Detection of spermatogonial stem/progenitor cells in prepubertal mouse testis with deep learning.
Journal of assisted reproduction and genetics
Mar 30, 2023
PURPOSE: Rapid and easy detection of spermatogonial stem/progenitor cells (SSPCs) is crucial for clinicians dealing with male infertility caused by prepubertal testicular damage. Deep learning (DL) methods may offer visual tools for tracking SSPCs on...
Artificial intelligence velocimetry reveals in vivo flow rates, pressure gradients, and shear stresses in murine perivascular flows.
Proceedings of the National Academy of Sciences of the United States of America
Mar 29, 2023
Quantifying the flow of cerebrospinal fluid (CSF) is crucial for understanding brain waste clearance and nutrient delivery, as well as edema in pathological conditions such as stroke. However, existing in vivo techniques are limited to sparse velocit...
Deep learning-based segmentation and quantification of podocyte foot process morphology suggests differential patterns of foot process effacement across kidney pathologies.
Kidney international
Mar 27, 2023
Morphological alterations at the kidney filtration barrier increase intrinsic capillary wall permeability resulting in albuminuria. However, automated, quantitative assessment of these morphological changes has not been possible with electron or ligh...
Predicting gene and protein expression levels from DNA and protein sequences with Perceiver.
Computer methods and programs in biomedicine
Mar 22, 2023
BACKGROUND AND OBJECTIVE: The functions of an organism and its biological processes result from the expression of genes and proteins. Therefore quantifying and predicting mRNA and protein levels is a crucial aspect of scientific research. Concerning ...
Anti-inflammatory therapy enables robot-actuated regeneration of aged muscle.
Science robotics
Mar 22, 2023
Robot-actuated mechanical loading (ML)-based therapies ("mechanotherapies") can promote regeneration after severe skeletal muscle injury, but the effectiveness of such approaches during aging is unknown and may be influenced by age-associated decline...
Health Information Technology Usability Evaluation Scale (Health-ITUES) and User-Experience Questionnaire (UEQ) for 3D Intraoperative Cognitive Navigation (ICON3D) System for Urological Procedures.
Medicina (Kaunas, Lithuania)
Mar 21, 2023
In recent years, the adoption of 3D models for surgical planning and intraoperative guidance has gained a wide diffusion. The aim of this study was to evaluate the surgeons' perception and usability of ICON3D platform for robotic and laparoscopic ur...
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