Thursday, October 6, 2022

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Computational model reveals new disease patterns in ALS, Alzheimer’s, and Parkinson’s

Unraveling Diseases with Data – Machine Learning Helps Identify New Nonlinear Progression Patterns in...

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Researchers from the MIT-IBM Watson AI lab have developed a new machine learning-based model that recognizes ALS disease progression. The research will help design future...
gut microbiome associated with Carbapenemase-producing Enterobacteriaceae infections.

Understanding the Population Dynamics for AMR Burden due to Carbapenemase-producing Enterobacteriaceae in Gut Microbiome

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Scientists from A*STAR's Genome Institute of Singapore (GIS) discovered that carbapenemase-producing Enterobacteriaceae (CPE) could hide out among gut bacteria in asymptomatic humans. Long-term research...
Long non-coding RNAs (lncRNAs) in the cardiovascular system

Researchers Identified Deep Learning Tools as the Top Performers for Predicting Long Non-coding RNA

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New RNA transcripts have been discovered as a result of the growing amount of transcriptomic data. Bioinformatic tool developers have had difficulty separating long...
Integrating temporal single-cell gene expression modalities for trajectory inference and disease prediction

In a Benchmark Study, Scientists Investigated the Integration of Temporal Sequencing Modalities for Trajectory...

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Recent advancements in trajectory inferences have unfolded a new side of bioinformatics, i.e., single-cell analysis. The research group from the University of Northern Carolina...
A machine learning tool - SigProfilerExtractor has identified a link between bladder cancer and tobacco smoking.

New AI Tool ‘SigProfilerExtractor’ Identifies Mutational Signature Linked To Tobacco Smoking and Bladder Cancer

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A new powerful machine learning tool, 'SigProfilerExtractor' has identified a link between bladder cancer and tobacco smoking. The study was led by researchers at the...