A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...
EEG-based machine learning predicted SSRI treatment response in depression with high accuracy. Learn how brain signals could ...
Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking patterns and altered perceptions of reality, as well as mental impairments.
As humans age beyond early adulthood, their physical and mental functions tend to slowly worsen over time. One of the most ...
One of the most enduring goals in regenerative medicine is deceptively simple: replace a person's damaged or dying cells with ...
The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...
An AI-powered model developed at University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests. It detected neurological conditions with up to 97.5% accuracy and ...
A deep learning model using retinal images obtained during ROP screening may be used to predict diagnosis of BPD and PH.
Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
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