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 ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

There may be two distinct subtypes of multiple sclerosis, according to a new study led by scientists at University College London (UCL). The finding, if validated, could help doctors provide more ...

See how machine learning is spotting Alzheimer’s years before symptoms begin—using brain scans to help guide earlier, more ...

At the intersection of AI and medical science, there is growing interest in using machine learning to enhance imaging data captured by magnetic resonance imaging (MRI) technology. Recent studies show ...

Africa accounts for the majority of global births affected by the condition, yet universal newborn screening remains rare.

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...

Cardiovascular diseases remain one of the leading causes of mortality and morbidity worldwide. They are responsible for almost 31 percent of all deaths. India is also struggling with rising number […] ...

A Stanford-led study published in Nature on Feb. 26 found that age-related changes witnessed in diseases like Alzheimer’s may be related to a relatively untapped area of research in the brain. The ...

Please provide your email address to receive an email when new articles are posted on . Machine learning can use patient-reported outcomes to identify low disease activity in rheumatoid arthritis.