AIMC Topic: Mice

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Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii.

Nature chemical biology May 25, 2023
Acinetobacter baumannii is a nosocomial Gram-negative pathogen that often displays multidrug resistance. Discovering new antibiotics against A. baumannii has proven challenging through conventional screening approaches. Fortunately, machine learning ...
Animals Deep Learning Drug Resistance, Multiple, Bacterial Mice Microbial Sensitivity Tests Anti-Bacterial Agents Acinetobacter baumannii
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Deep Learning-Based Image Analysis of Liver Steatosis in Mouse Models.

The American journal of pathology May 24, 2023
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...
Non-alcoholic Fatty Liver Disease Disease Models, Animal Animals Deep Learning Neural Networks, Computer Liver Mice Algorithms
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Echo2Pheno: a deep-learning application to uncover echocardiographic phenotypes in conscious mice.

Mammalian genome : official journal of the International Mammalian Genome Society May 23, 2023
Echocardiography, a rapid and cost-effective imaging technique, assesses cardiac function and structure. Despite its popularity in cardiovascular medicine and clinical research, image-derived phenotypic measurements are manually performed, requiring ...
Deep Learning Mice Ribonucleases Heart Phenotype Algorithms Animals Echocardiography
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Self-Propelled Janus Nanocatalytic Robots Guided by Magnetic Resonance Imaging for Enhanced Tumor Penetration and Therapy.

Journal of the American Chemical Society May 16, 2023
Biomedical micro/nanorobots as active delivery systems with the features of self-propulsion and controllable navigation have made tremendous progress in disease therapy and diagnosis, detection, and biodetoxification. However, existing micro/nanorobo...
Nanoparticles Magnetic Resonance Imaging Hyperthermia, Induced Robotics Cell Line, Tumor Mice Neoplasms Hydrogen Peroxide Animals
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Enhancing Total Optical Throughput of Microscopy with Deep Learning for Intravital Observation.

Small methods May 15, 2023
The significance of performing large-depth dynamic microscopic imaging in vivo for life science research cannot be overstated. However, the optical throughput of the microscope limits the available information per unit of time, i.e., it is difficult ...
Mice Fluorescent Dyes Microscopy, Fluorescence Animals Deep Learning Intravital Microscopy Brain
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FPGA-Based In-Vivo Calcium Image Decoding for Closed-Loop Feedback Applications.

IEEE transactions on biomedical circuits and systems May 10, 2023
Miniaturized calcium imaging is an emerging neural recording technique that has been widely used for monitoring neural activity on a large scale at a specific brain region of rats or mice. Most existing calcium-image analysis pipelines operate offlin...
Rats Brain Calcium Animals Feedback Neural Networks, Computer Mice
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RPI-EDLCN: An Ensemble Deep Learning Framework Based on Capsule Network for ncRNA-Protein Interaction Prediction.

Journal of chemical information and modeling May 9, 2023
Noncoding RNAs (ncRNAs) play crucial roles in many cellular life activities by interacting with proteins. Identification of ncRNA-protein interactions (ncRPIs) is key to understanding the function of ncRNAs. Although a number of computational methods...
Proteins RNA, Untranslated Deep Learning Neural Networks, Computer Animals Mice
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A fully automated micro‑CT deep learning approach for precision preclinical investigation of lung fibrosis progression and response to therapy.

Respiratory research May 9, 2023
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...
Reproducibility of Results Animals Deep Learning Humans X-Ray Microtomography Bleomycin Pulmonary Fibrosis Mice Disease Models, Animal
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Genomic benchmarks: a collection of datasets for genomic sequence classification.

BMC genomic data May 1, 2023
BACKGROUND: Recently, deep neural networks have been successfully applied in many biological fields. In 2020, a deep learning model AlphaFold won the protein folding competition with predicted structures within the error tolerance of experimental met...
Genomics Humans Benchmarking Animals Neural Networks, Computer Chromatin Mice Machine Learning
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Semi-Automated Data Curation from Biomedical Literature.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 29, 2023
Data curation is a bottleneck for many informatics pipelines. A specific example of this is aggregating data from preclinical studies to identify novel genetic pathways for atherosclerosis in humans. This requires extracting data from published mouse...
Publications Data Curation Mice Natural Language Processing Humans Animals
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