Cold storage surpasses the impact of biological age and donor characteristics on red blood cell morphology classified by deep machine learning
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-90760-3
Abstract: Assessment of the morphology of red blood cells (RBCs) can improve clinical benefits following blood transfusion. Deep machine learning surpasses traditional microscopy-based classification methods, offering more accurate and consistent results while reducing time and labor… read more here.
Keywords: rbcs; biological age; storage; morphology ... See more keywords
Quasar microlensing light-curve analysis using deep machine learning
Sign Up to like & getrecommendations! Published in 2019 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stz868
Abstract: We introduce a deep machine learning approach to studying quasar microlensing light curves for the first time by analyzing hundreds of thousands of simulated light curves with respect to the accretion disc size and temperature… read more here.
Keywords: microlensing light; light curve; deep machine; machine learning ... See more keywords
Automation and deep (machine) learning in temporomandibular joint disorder radiomics. A systematic review.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of oral rehabilitation"
DOI: 10.1111/joor.13440
Abstract: OBJECTIVE This review aimed to systematically analyse the influence of clinical variables, diagnostic parameters and the overall image acquisition process on automation and deep learning in TMJ disorders. METHODS Articles were screened in late 2022… read more here.
Keywords: deep machine; review; machine learning; automation deep ... See more keywords
Predicting groundwater level using traditional and deep machine learning algorithms
Sign Up to like & getrecommendations! Published in 2024 at "Frontiers in Environmental Science"
DOI: 10.3389/fenvs.2024.1291327
Abstract: This research aims to evaluate various traditional or deep machine learning algorithms for the prediction of groundwater level (GWL) using three key input variables specific to Izeh City in the Khuzestan province of Iran: groundwater… read more here.
Keywords: groundwater level; traditional deep; machine learning; machine ... See more keywords
Solubility Characteristics of Acetaminophen and Phenacetin in Binary Mixtures of Aqueous Organic Solvents: Experimental and Deep Machine Learning Screening of Green Dissolution Media
Sign Up to like & getrecommendations! Published in 2022 at "Pharmaceutics"
DOI: 10.3390/pharmaceutics14122828
Abstract: The solubility of active pharmaceutical ingredients is a mandatory physicochemical characteristic in pharmaceutical practice. However, the number of potential solvents and their mixtures prevents direct measurements of all possible combinations for finding environmentally friendly, operational… read more here.
Keywords: deep machine; solubility; machine learning; binary mixtures ... See more keywords