Digital heart twin offers potential new tool for treating dangerous heart rhythms

Using computers to make a digital replica of the heart—a digital heart twin—can successfully identify problem areas deep in the heart muscle of people with a serious heart rhythm disorder, a new study finds. The research lays the groundwork for a new way of treating a life-threatening condition often caused by prior heart attacks or genetic heart disorders.

Machine learning and climate data offer new insights into dengue forecasting

Dengue is a mosquito-borne disease which infects about 390 million people globally each year. Case numbers have grown steadily in recent years, with the most severe outbreaks occurring in tropical regions of South America. To better predict how the disease spreads, it will be vital for researchers to fully understand how dengue case numbers are linked to different aspects of tropical climates.