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 ...
New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...
As instigators of immunity, monoclonal antibodies are marvels of modern medicine, lab-made proteins that can treat cancers, autoimmune diseases, and many other conditions.
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.