AIMC Topic:
Software
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Cell fishing: A similarity based approach and machine learning strategy for multiple cell lines-compound sensitivity prediction.
PloS one
Oct 7, 2019
The prediction of cell-lines sensitivity to a given set of compounds is a very important factor in the optimization of in-vitro assays. To date, the most common prediction strategies are based upon machine learning or other quantitative structure-act...
A machine learning-based service for estimating quality of genomes using PATRIC.
BMC bioinformatics
Oct 3, 2019
BACKGROUND: Recent advances in high-volume sequencing technology and mining of genomes from metagenomic samples call for rapid and reliable genome quality evaluation. The current release of the PATRIC database contains over 220,000 genomes, and curre...
CNN-based diagnosis models for canine ulcerative keratitis.
Scientific reports
Oct 2, 2019
The purpose of this methodological study was to develop a convolutional neural network (CNN), which is a recently developed deep-learning-based image recognition method, to determine corneal ulcer severity in dogs. The CNN model was trained with imag...
DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning.
eLife
Oct 1, 2019
Quantitative behavioral measurements are important for answering questions across scientific disciplines-from neuroscience to ecology. State-of-the-art deep-learning methods offer major advances in data quality and detail by allowing researchers to a...
Recognizing software names in biomedical literature using machine learning.
Health informatics journal
Sep 30, 2019
Software tools now are essential to research and applications in the biomedical domain. However, existing software repositories are mainly built using manual curation, which is time-consuming and unscalable. This study took the initiative to manually...
Stable memory with unstable synapses.
Nature communications
Sep 30, 2019
What is the physiological basis of long-term memory? The prevailing view in Neuroscience attributes changes in synaptic efficacy to memory acquisition, implying that stable memories correspond to stable connectivity patterns. However, an increasing b...
LOTUS: A single- and multitask machine learning algorithm for the prediction of cancer driver genes.
PLoS computational biology
Sep 30, 2019
Cancer driver genes, i.e., oncogenes and tumor suppressor genes, are involved in the acquisition of important functions in tumors, providing a selective growth advantage, allowing uncontrolled proliferation and avoiding apoptosis. It is therefore imp...
Development of a clinical support system for identifying social frailty.
International journal of medical informatics
Sep 26, 2019
OBJECTIVE: Recognizing frailty, also known as clinical geriatric syndrome in the elderly that is characterized by high vulnerability and low resilience, and its extensive influence in clinical practice is challenging. This study aims to develop a soc...
Predicting early risk of chronic kidney disease in cats using routine clinical laboratory tests and machine learning.
Journal of veterinary internal medicine
Sep 26, 2019
BACKGROUND: Advanced machine learning methods combined with large sets of health screening data provide opportunities for diagnostic value in human and veterinary medicine.
An in vitro assay and artificial intelligence approach to determine rate constants of nanomaterial-cell interactions.
Scientific reports
Sep 26, 2019
In vitro assays and simulation technologies are powerful methodologies that can inform scientists of nanomaterial (NM) distribution and fate in humans or pre-clinical species. For small molecules, less animal data is often needed because there are a ...
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