Research

Pros and Cons of Mommy Mobile Apps

Mobile phone apps are increasingly being used to support breastfeeding decisions - sometimes at a cost, a Flinders University study indicates. The objective approach of most infant feeding (IF) apps gives mothers a perception of greater control, confidence and efficiency at a time of transition and stress in the early stages of parenting an infant, the study found.

Astrophysics and AI may Offer Key to Early Dementia Diagnosis

Crucial early diagnosis of dementia in general practice could improve thanks to a computer model designed in a collaboration between Brighton and Sussex Medical School (BSMS) and astrophysicists at the University of Sussex.

Free Tool Simplifies Cancer Research

Every cell contains a vast number of proteins, each of which has a specific function, for example as a receptor for another molecule or an enzyme that catalyses chemical reactions. Disorders of such mechanisms can seriously affect a cell and cause diseases such as cancer, in which the sick cell functions in a fundamentally different way to a healthy cell.

New Software Tool Uses AI to Help Doctors Identify Cancer Cells

UT Southwestern researchers have developed a software tool that uses artificial intelligence to recognize cancer cells from digital pathology images - giving clinicians a powerful way of predicting patient outcomes.

Artificial Intelligence-Based Algorithm for Intensive Care of Traumatic Brain Injury

Traumatic brain injury (TBI) is a significant global cause of mortality and morbidity with an increasing incidence, especially in low-and-middle income countries. The most severe TBIs are treated in intensive care units (ICU), but in spite of the proper and high-quality care, about one in three patients dies.

How an AI Solution can Design New Tuberculosis Drug Regimens

With a shortage of new tuberculosis drugs in the pipeline, a software tool from the University of Michigan can predict how current drugs - including unlikely candidates - can be combined in new ways to create more effective treatments.

"This could replace our traditional trial-and-error system for drug development that is comparatively slow and expensive," said Sriram Chandrasekaran, U-M assistant professor of biomedical engineering, who leads the research.

Artificial Intelligence Algorithm can Learn the Laws of Quantum Mechanics and Speed Up Drug Delivery

Artificial Intelligence can be used to predict molecular wave functions and the electronic properties of molecules. This innovative AI method developed by a team of researchers at the University of Warwick, the Technical University of Berlin and the University of Luxembourg, could be used to speed-up the design of drug molecules or new materials.