AIMC Topic: Disease Models, Animal

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MASP-2 deficiency does not prevent the progression of diabetic kidney disease in a mouse model of type 1 diabetes.

Scandinavian journal of immunology
Mannan-binding lectin (MBL) initiates the lectin pathway of complement and has been linked to albuminuria and mortality in diabetes. We hypothesize that MBL-associated serine protease 2 (MASP-2) deficiency will protect against diabetes-induced kidney...

Discovery of a structural class of antibiotics with explainable deep learning.

Nature
The discovery of novel structural classes of antibiotics is urgently needed to address the ongoing antibiotic resistance crisis. Deep learning approaches have aided in exploring chemical spaces; these typically use black box models and do not provide...

What is the impact of intraperitoneal surfactant administration against postoperative intraabdominal adhesion formation? an experimental study.

Turkish journal of medical sciences
BACKGROUND/AIM: Surfactant is a surface-active substance that, in addition to its detergent effect, also has effects that reduce inflammation and fibrosis. Because of these effects, it was aimed herein to investigate the effect of intraperitoneal sur...

Preclinical efficacy of a cell division protein candidate gonococcal vaccine identified by artificial intelligence.

mBio
Vaccines to curb the global spread of multidrug-resistant gonorrhea are urgently needed. Here, 26 vaccine candidates identified by an artificial intelligence-driven platform (Efficacy Discriminative Educated Network[EDEN]) were screened for efficacy ...

Embryonic cranial cartilage defects in the Fgfr3 mouse model of achondroplasia.

Anatomical record (Hoboken, N.J. : 2007)
Achondroplasia, the most common chondrodysplasia in humans, is caused by one of two gain of function mutations localized in the transmembrane domain of fibroblast growth factor receptor 3 (FGFR3) leading to constitutive activation of FGFR3 and subseq...

Quantifying acute kidney injury in an Ischaemia-Reperfusion Injury mouse model using deep-learning-based semantic segmentation in histology.

Biology open
This study focuses on ischaemia-reperfusion injury (IRI) in kidneys, a cause of acute kidney injury (AKI) and end-stage kidney disease (ESKD). Traditional kidney damage assessment methods are semi-quantitative and subjective. This study aims to use a...

Combining electromyographic and electrical impedance data sets through machine learning: A study in D2-mdx and wild-type mice.

Muscle & nerve
INTRODUCTION/AIMS: Needle impedance-electromyography (iEMG) assesses the active and passive electrical properties of muscles concurrently by using a novel needle with six electrodes, two for EMG and four for electrical impedance myography (EIM). Here...

Deep Learning-Based Image Analysis of Liver Steatosis in Mouse Models.

The American journal of pathology
The incidence of nonalcoholic fatty liver disease is a continuously growing health problem worldwide, along with obesity. Therefore, novel methods to both efficiently study the manifestation of nonalcoholic fatty liver disease and to analyze drug eff...

A fully automated micro‑CT deep learning approach for precision preclinical investigation of lung fibrosis progression and response to therapy.

Respiratory research
Micro-computed tomography (µCT)-based imaging plays a key role in monitoring disease progression and response to candidate drugs in various animal models of human disease, but manual image processing is still highly time-consuming and prone to operat...