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Results 211 to 220 of about 155,699 (303)

Correlation Between Fecal Microbiota and Corticosteroid Responsiveness in Primary Immune Thrombocytopenia: an Exploratory Study

Advanced Science, EarlyView.
This study uses gut microbiome data to predict corticosteroid response in patients with immune thrombocytopenia (ITP). Fecal samples from 212 patients with ITP are sequenced. Six machine‐learning algorithms are used to train predictive models. The support vector machine‐based model integrated clinical data and selected microbial species, diversities ...
Feng‐Qi Liu +38 more
wiley +1 more source

Twin neural network regression

Applied AI Letters, Volume 3, Issue 4, December 2022., 2022
We propose to reformulate a regression problem into predicting differences between target values. This allows for leveraging consistency conditions which can be used as uncertainty estimates and enable the production of an ensemble of predictions while training only a single neural network.
Sebastian Johann Wetzel +3 more
wiley +1 more source

Automated Scoring of Alzheimer's Disease Atrophy Scale with Subtype Classification Using Deep Learning-Based T1-Weighted Magnetic Resonance Image Segmentation. [PDF]

J Alzheimers Dis Rep
Choe YS +13 more
europepmc +1 more source

Deep learning enables automated scoring of liver fibrosis stages. [PDF]

Sci Rep, 2018
Yu Y +13 more
europepmc +1 more source

Automating Lead Scoring with Machine Learning: An Experimental Study [PDF]

, 2020
Robert Nygård, József Mezei
openalex +1 more source

P21‐Activated Kinase 2 as a Novel Target for Ventricular Tachyarrhythmias Associated with Cardiac Adrenergic Stress and Hypertrophy

Advanced Science, EarlyView.
Ca2+/calmodulin‐dependent kinase II (CaMKII) activation is likely driven by oxidative stress, particularly excessive reactive oxygen species (ROS) production. This study identifies P21‐activated kinase 2 (Pak2) as a novel regulator of ROS‐induced CaMKII activation and abnormal Ca2⁺ dynamics in acute adrenergic and chronic pressure‐overload stressed ...
Tao Li +21 more
wiley +1 more source

MEA‐seqX: High‐Resolution Profiling of Large‐Scale Electrophysiological and Transcriptional Network Dynamics

Advanced Science, EarlyView.
How can we fully understand brain function and disease without uncovering the causal coordination between molecular and neural activity across space and time? MEA‐seqX tackles this challenge by integrating advanced electrophysiology, spatial transcriptomics, and artificial intelligence predictions, revealing multiscale dynamics.
Brett Addison Emery +9 more
wiley +1 more source

Use of Automated Self-administered 24-hour Recalls (ASA24-2011) and Diet Quality Scores to Characterize Women who Met or Exceeded Weight Gain Recommendations during Pregnancy

, 2015
Cassandra Graziano +6 more
openalex +1 more source

Leveraging Automated Machine Learning for Environmental Data‐Driven Genetic Analysis and Genomic Prediction in Maize Hybrids

Advanced Science, EarlyView.
An automated machine learning framework integrating environmental and genomic data enhances genetic analysis and genomic prediction in maize. By leveraging dimension‐reduced environmental parameters, it reveals trait‐environment relationships and identifies genetic markers that govern phenotypic plasticity and genotype‐by‐environment interactions.
Kunhui He +12 more
wiley +1 more source

Validation of automated scoring of science assessments

, 2016
Ou Lydia Liu +4 more
openalex +2 more sources

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