LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "driven identification" as a keyword



Machine Learning-Driven Identification of Blood-Based Biomarkers and Therapeutic Agents for Personalized Ischemic Stroke Management

Sign Up to like & get
recommendations! Published in 2025 at "Journal of Cardiovascular Translational Research"

DOI: 10.1007/s12265-025-10635-w

Abstract: Ischemic stroke (IS) is the most common subtype of stroke. However, reliable blood biomarkers for early diagnosis remain unavailable. This study developed a predictive model based on peripheral blood (PB) biomarkers. PB samples from two… read more here.

Keywords: ischemic stroke; machine learning; learning driven; blood ... See more keywords
Photo from wikipedia

Data-driven identification of rotating machines using ARMA deterministic parameter evolution in the angle/time domain

Sign Up to like & get
recommendations! Published in 2020 at "Journal of The Brazilian Society of Mechanical Sciences and Engineering"

DOI: 10.1007/s40430-020-02554-5

Abstract: The functional-series angle-/time-varying autoregressive moving-average (AT-FS-ARMA) model was used to model and analyze vibration-based signals from internal combustion engines. This approach is derived from the formulation of the time–angle periodically correlated processes, a relatively new… read more here.

Keywords: time; data driven; angle time; model ... See more keywords
Photo by sarahdorweiler from unsplash

Chemistrees: Data-Driven Identification of Reaction Pathways via Machine Learning

Sign Up to like & get
recommendations! Published in 2021 at "Journal of Chemical Theory and Computation"

DOI: 10.1021/acs.jctc.1c00458

Abstract: We propose to analyze molecular dynamics (MD) output via a supervised machine learning (ML) algorithm, the decision tree. The approach aims to identify the predominant geometric features which correlate with trajectories that transition between two… read more here.

Keywords: machine learning; data driven; chemistrees data; reaction ... See more keywords

In silico-driven identification of novel molluscicides effective against Biomphalaria glabrata (Say, 1818)

Sign Up to like & get
recommendations! Published in 2020 at "New Journal of Chemistry"

DOI: 10.1039/d0nj03314f

Abstract: Schistosomiasis control in endemic areas depends on several factors, including mass drug delivery programs and interrupting the transmission of disease by controlling the intermediate host snails in the freshwater ecosystem using molluscicides. However, the use… read more here.

Keywords: driven identification; biomphalaria glabrata; identification novel; silico driven ... See more keywords

AI‐Driven Identification of Exceptionally Efficacious Polypharmacological Compounds That Extend the Lifespan of Caenorhabditis elegans

Sign Up to like & get
recommendations! Published in 2025 at "Aging Cell"

DOI: 10.1111/acel.70060

Abstract: Analysis of existing lifespan‐extending geroprotective compounds suggested that polypharmacological compounds are the most effective geroprotectors, specifically those that bind multiple biogenic amine receptors. To test this hypothesis, we used graph neural networks to predict polypharmacological… read more here.

Keywords: exceptionally efficacious; polypharmacological compounds; identification exceptionally; driven identification ... See more keywords

Metabolomics-Driven Identification of the Rate-Limiting Steps in 1-Propanol Production

Sign Up to like & get
recommendations! Published in 2022 at "Frontiers in Microbiology"

DOI: 10.3389/fmicb.2022.871624

Abstract: The concerted effort for bioproduction of higher alcohols and other commodity chemicals has yielded a consortium of metabolic engineering techniques to identify targets to enhance performance of engineered microbial strains. Here, we demonstrate the use… read more here.

Keywords: identification rate; rate limiting; metabolomics driven; production ... See more keywords

Data-driven identification of potential Zika virus vectors

Sign Up to like & get
recommendations! Published in 2017 at "eLife"

DOI: 10.7554/elife.22053

Abstract: Zika is an emerging virus whose rapid spread is of great public health concern. Knowledge about transmission remains incomplete, especially concerning potential transmission in geographic areas in which it has not yet been introduced. To… read more here.

Keywords: data driven; identification potential; zika virus; driven identification ... See more keywords