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

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

AI prioritizes clinical trials by identifying unmet medical needs, optimizing resource allocation, and focusing on conditions ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

For most patients, a diagnosis is just the beginning of an uncertain journey filled with long wait times, fragmented ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

What is patient privacy for? The Hippocratic Oath, thought to be one of the earliest and most widely known medical ethics ...

Sharon Hewner, a professor at the University at Buffalo School of Nursing, PhD student Erica Smith, and alumna and UB nursing research associate professor Suzanne Sullivan, who is also an associate ...

Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Researchers ...

A new study shows that artificial intelligence can be used to predict patients’ risk of developing a potentially lethal arrhythmia after experiencing heart failure. In the study, presented this week ...