Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...
A new AI tool that accurately predicts the need for a feeding tube could transform patient care and improve quality of life ...
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, autoimmune diseases, and many other conditions.
A novel machine learning version of the Opioid Risk Tool provides high precision screening for opioid use disorder in chronic pain patients.
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.