AIMC Topic: Mice
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The antidiabetic drug pioglitazone ameliorates betel-nut-induced carcinogenesis in mice by restoring normal lipid metabolism, reducing oxidative stress, and inducing apoptosis.
Journal of cancer research and therapeutics
Apr 27, 2023
CONTEXT: Oral administration (2 mg mL-1) of aqueous extract of betel nut (AEBN) for 24 weeks induced oncogenic alterations in the liver of female Swiss Albino mice concomitant with aberrant lipid metabolism, overactivation of Akt/mTOR signaling, and ...
Analysis of cardiac single-cell RNA-sequencing data can be improved by the use of artificial-intelligence-based tools.
Scientific reports
Apr 26, 2023
Single-cell RNA sequencing (scRNAseq) enables researchers to identify and characterize populations and subpopulations of different cell types in hearts recovering from myocardial infarction (MI) by characterizing the transcriptomes in thousands of in...
XAI-enabled neural network analysis of metabolite spatial distributions.
Analytical and bioanalytical chemistry
Apr 21, 2023
We used deep neural networks to process the mass spectrometry imaging (MSI) data of mouse muscle (young vs aged) and human cancer (tumor vs normal adjacent) tissues, with the aim of using explainable artificial intelligence (XAI) methods to rapidly i...
High-throughput image analysis with deep learning captures heterogeneity and spatial relationships after kidney injury.
Scientific reports
Apr 19, 2023
Recovery from acute kidney injury can vary widely in patients and in animal models. Immunofluorescence staining can provide spatial information about heterogeneous injury responses, but often only a fraction of stained tissue is analyzed. Deep learni...
Bubble-Based Microrobots with Rapid Circular Motions for Epithelial Pinning and Drug Delivery.
Small (Weinheim an der Bergstrasse, Germany)
Apr 14, 2023
Remotely powered microrobots are proposed as next-generation vehicles for drug delivery. However, most microrobots swim with linear trajectories and lack the capacity to robustly adhere to soft tissues. This limits their ability to navigate complex b...
Identification of thrombopoiesis inducer based on a hybrid deep neural network model.
Thrombosis research
Apr 14, 2023
Thrombocytopenia is a common haematological problem worldwide. Currently, there are no relatively safe and effective agents for the treatment of thrombocytopenia. To address this challenge, we propose a computational method that enables the discovery...
Science fact vs science fiction: A ChatGPT immunological review experiment gone awry.
Immunology letters
Apr 7, 2023
Artificial intelligence (AI) has made great progress in recent years. The latest chatbot to make a splash is ChatGPT. To see if this type of AI could also be helpful in creating an immunological review article, I put a planned review on different cla...
A pharmacokinetic-pharmacodynamic model based on the SSA-1DCNN-Attention network and the semicompartment method.
Biotechnology & genetic engineering reviews
Apr 5, 2023
To solve the problem of inaccurate prediction caused by the lack of representativeness of samples due to the small sample size of the collected clinical data when using machine learning methods to predict drug concentration in plasma and describe the...
Dose reduction and image enhancement in micro-CT using deep learning.
Medical physics
Apr 5, 2023
BACKGROUND: In preclinical settings, micro-computed tomography (CT) provides a powerful tool to acquire high resolution anatomical images of rodents and offers the advantage to in vivo non-invasively assess disease progression and therapy efficacy. M...
The emerging role of artificial intelligence and digital twins in pre-clinical molecular imaging.
Nuclear medicine and biology
Apr 4, 2023
INTRODUCTION: Pre-clinical molecular imaging, particularly with mice, is an essential part of drug and radiopharmaceutical development. There remain ethical challenges to reduce, refine and replace animal imaging where possible.
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