The new model identifies at-risk subgroups and helps guide them toward tailored interventions. The depicted figures wear color-coded outfits matching the DNA double helix railings, symbolizing the ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Cervical spondylotic myelopathy (CSM) refers to spinal cord compression from arthritis in the neck and is the leading cause of spinal cord dysfunction in older adults. CSM is a chronic, progressive ...

Please provide your email address to receive an email when new articles are posted on . “Performing medical and lifestyle interventions will be critical for mitigating disease symptoms and improving ...

New developments in artificial intelligence could use sleep data to predict disease risk, a new study suggests. Stanford Medicine researchers have developed an AI model trained on nearly 600,000 hours ...

A deep learning algorithm that only uses data from mammogram images along with age may predict major cardiac events as accurately as traditional cardiovascular risk calculators, new data suggest. The ...

Low-dose computed tomography (LDCT) screening is effective in reducing lung cancer mortality by detecting the disease at earlier, more treatable stages. However, high false-positive rates and the ...

Approximately one in seven adults in the United States has kidney disease, where the organs responsible for filtering waste ...

A new study from Karolinska Institutet, published in the scientific journal The BMJ, shows how a simple blood analysis can predict the risk of developing severe liver disease. The method may already ...

Stanford researchers have developed an AI that can predict future disease risk using data from just one night of sleep. The system analyzes detailed physiological signals, looking for hidden patterns ...