Digital Health

A primary concern for digital health tools in older populations is the risk of cybersickness, though recent data indicates these symptoms decrease over time. As the global population continues to age into the late 2020s, finding efficient and accurate ways to identify early signs of memory loss and

Machine-learning algorithms are now capable of analyzing pixel-level MRI data to identify the presence of M2-like macrophages that promote glioblastoma progression. This development marks a significant turning point in the management of high-grade gliomas, where the density and distribution of

The transition to a hypercoagulable state during pregnancy is an evolutionary mechanism that unfortunately increases the vulnerability to lethal vascular issues. In Nigeria, where maternal healthcare outcomes often lag behind global benchmarks, this biological predisposition toward blood clotting

RadNet’s evolution into an integrated imaging model combines physical infrastructure with digital health technology to address the pressing needs of early disease detection and population health. The recent announcement of a definitive agreement to acquire ONRAD represents a transformative

The clinical sterility of a modern hospital ward often acts as a double-edged sword, providing life-saving technology while simultaneously stripping away the natural sensory inputs essential for human psychological well-being. For decades, medical practitioners have prioritized the physical

The National University XG AI Centre aims to integrate 5G-Advanced and 6G connectivity to revolutionize surgical procedures and home-based recovery models through artificial intelligence. This ambitious collaboration between the National University Health System, Singtel, and Ericsson represents a