AI models using ultrasound imaging demonstrate superior diagnostic performance for ovarian cancer compared to sonographers, with higher sensitivity and specificity. The study emphasizes the need for ...

As the diagnostic landscape evolves, several patterns are emerging across both clinical research and market innovation.

University of Navarra (Spain) researchers have developed RNACOREX, a new open-source software capable of identifying gene ...

Cancer remains a leading cause of morbidity and mortality worldwide, presenting immense challenges to public health systems. Despite major advances in ...

Artificial intelligence is no longer just spotting tumors a little faster than humans. In study after study, machine learning systems are uncovering hidden patterns in cancer data that even veteran ...

New types of sensors can generate environmental data in real time using a range of tools, including flexible, printed ICs and ...

Researchers at the University of South Australia are using machine learning for hyperspectral imaging to detect contamination ...

Abstract: False data injection attacks (FDIA) pose significant threats to the security of distribution networks, jeopardizing the integrity of measurements and the accuracy of decision-making ...

Abstract: Lung cancer continues to rank among the world’s leading causes of cancer-related death. Improvements in early detection, diagnosis, and treatment planning are imperative. Classification, ...

For the hundreds of communities who’ve been saddled with data centers in recent years, the bulky fixtures are sources of unbearable noise, soaring energy prices, and plenty of electrical fires. Add ...