Results 71 to 80 of about 943,112 (315)

Nomogram model predicts the risk of visual impairment in diabetic retinopathy: a retrospective study

open access: yesBMC Ophthalmology, 2022
Background To develop a model for predicting the risk of visual impairment in diabetic retinopathy (DR) by a nomogram. Methods Patients with DR who underwent both optical coherence tomography angiography (OCTA) and fundus fluorescein angiography (FFA ...
Yuancheng Zhao   +7 more
doaj   +1 more source

Early detection of alzheimer's disease based on clinical trials, three-dimensional imaging data, and personal information using autoencoders

open access: yesJournal of Medical Signals and Sensors, 2021
Background: A timely diagnosis of Alzheimer's disease (AD) is crucial to obtain more practical treatments. In this article, a novel approach using Auto-Encoder Neural Networks (AENN) for early detection of AD was proposed.
Hamid Akramifard   +3 more
doaj   +1 more source

LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro

open access: yesMolecular Oncology, EarlyView.
Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix   +13 more
wiley   +1 more source

Influence of components structure and composition of binary mixtures of organic compounds on toxicity towards Daphnia Magna

open access: yesTrudy Odesskogo Politehničeskogo Universiteta, 2015
Simplex representation of molecular structure is employed for consensus QSAR analysis of toxicity towards Daphnia magna of sodium salts of α-alkoxycarbonylsulfuric acids, aliphatic n-alcohols, phenols and their binary mixtures. The structure of a mixture
Ekaterina V. Varlamova   +3 more
doaj   +1 more source

Tensor network to learn the wave function of data

open access: yesPhysical Review Research, 2022
Tensor network architectures have emerged recently as a promising approach to various tasks of machine learning, both supervised and unsupervised.
Anatoly Dymarsky, Kirill Pavlenko
doaj   +1 more source

Classification of Breast Cancer Lesions in Ultrasound Images by Using Attention Layer and Loss Ensemble in Deep Convolutional Neural Networks

open access: yesDiagnostics, 2021
The reliable classification of benign and malignant lesions in breast ultrasound images can provide an effective and relatively low-cost method for the early diagnosis of breast cancer.
Elham Yousef Kalafi   +7 more
doaj   +1 more source

Conditional and marginal relative risk parameters for a class of recursive regression graph models

open access: yes, 2018
In linear regression modelling the distortion of effects after marginalizing over variables of the conditioning set has been widely studied in several contexts. For Gaussian variables, the relationship between marginal and partial regression coefficients
Lupparelli, Monia
core   +1 more source

Fourth post-Minkowskian local-in-time conservative dynamics of binary systems [PDF]

open access: yesPhysical Review D
We compute the purely local-in-time (scale-free and logarithm-free) part of the conservative dynamics of gravitationally interacting two-body systems at the fourth post-Minkowskian order, and at the thirtiest order in velocity.
D. Bini, T. Damour
semanticscholar   +1 more source

Plecstatin inhibits hepatocellular carcinoma tumorigenesis and invasion through cytolinker plectin

open access: yesMolecular Oncology, EarlyView.
The ruthenium‐based metallodrug plecstatin exerts its anticancer effect in hepatocellular carcinoma (HCC) primarily through selective targeting of plectin. By disrupting plectin‐mediated cytoskeletal organization, plecstatin inhibits anchorage‐dependent growth, cell polarization, and tumor cell dissemination.
Zuzana Outla   +10 more
wiley   +1 more source

Mediating role of neutrophil-lymphocyte ratio in association between polycyclic aromatic hydrocarbons and mild cognitive impairment

open access: yes环境与职业医学, 2023
BackgroundAs a group of environmental pollutants, polycyclic aromatic hydrocarbons (PAHs) are neurotoxic and may cause mild cognitive impairment (MCI) by inducing inflammation. Whether neutrophil-lymphocyte ratio (NLR), an inflammatory indicator, plays a
Yifei MA   +4 more
doaj   +1 more source

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