{"id":150075,"date":"2025-12-02T11:59:43","date_gmt":"2025-12-02T16:59:43","guid":{"rendered":"https:/news/wp-json/wp/v2/posts/150075///news/wp-json/wp/v2/posts/150075//www.ucf.edu/news/wp-json/wp/v2/posts/150075//news/news/wp-json/wp/v2/posts/150075//?p=150075"},"modified":"2025-12-02T11:59:43","modified_gmt":"2025-12-02T16:59:43","slug":"ucf-researcher-creates-novel-sensors-for-smartphone-based-health-monitoring","status":"publish","type":"post","link":"https:/news/wp-json/wp/v2/posts/150075///news/wp-json/wp/v2/posts/150075//www.ucf.edu/news/wp-json/wp/v2/posts/150075//news/news/wp-json/wp/v2/posts/150075//ucf-researcher-creates-novel-sensors-for-smartphone-based-health-monitoring/news/wp-json/wp/v2/posts/150075//","title":{"rendered":"UCF Researcher Creates Novel Sensors for Smartphone-Based Health Monitoring"},"content":{"rendered":"
Professor Debashis Chanda (right), working with researchers including physics doctoral student Mahdi Soudi (left), created a smartphone-based biosensor to improve infectious disease detection. The platform provides a faster, more affordable option for communities with limited access to traditional diagnostics./news/wp-json/wp/v2/posts/150075/n
Early diagnosis of infectious disease is key to slowing outbreaks and improving treatment outcomes. However, current diagnostic techniques are time-consuming, require specialized equipment and are dependent on trained personnel, which hinders accessibility in resource-limited areas./news/wp-json/wp/v2/posts/150075/n