Research

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.

Doctors Give Electronic Health Records an 'F'

The transition to electronic health records (EHRs) was supposed to improve the quality and efficiency of healthcare for doctors and patients alike - but these technologies get an "F" rating for usability from health care professionals, and may be contributing to high rates of professional burnout, according to a new Yale-led study.

New X-ray Technology could Revolutionize How Doctors Identify Abnormalities

Using ground-breaking technology, researchers at the University of Maryland, Baltimore County (UMBC) and University of Baltimore (UMB) are testing a new method of X-ray imaging that uses color to identify microfractures in bones. Microfractures were previously impossible to see using standard X-ray imaging.

Telehealth Effectively Diagnoses / Manages Fetal Congenital Heart Disease in Rural Patients

A recent study of 368 pregnant mothers, led by Bettina Cuneo, MD, director of perinatal cardiology and fetal cardiac telemedicine at Children's Hospital Colorado, found that fetal congenital heart disease (CHD) was correctly identified and successfully managed according to evidence-based risk stratification. In addition, parents achieved a dramatic cost benefit and patient/physician satisfaction was high.

AI Predicts which Pre-Malignant Breast Lesions will Progress to Advanced Cancer

New research at Case Western Reserve University could help better determine which patients diagnosed with the pre-malignant breast cancer commonly as stage 0 are likely to progress to invasive breast cancer and therefore might benefit from additional therapy over and above surgery alone.

Using Artificial Intelligence to Predict Risk of Thyroid Cancer on Ultrasound

Thyroid nodules are small lumps that form within the thyroid gland and are quite common in the general population, with a prevalence as high as 67%. The great majority of thyroid nodules are not cancerous and cause no symptoms. However, there are currently limited guidelines on what to do with a nodule when the risk of cancer is uncertain.