Farzin Kamari, Esben Eller, Mathias Emil Bøgebjerg, Ignacio Martínez Capella, Borja Arroyo Galende, Tomas Korim, Pernille Øland, Martin Lysbjerg Borup, Anja Rådberg Frederiksen, Amir Ranjouriheravi, Ahmed Faris Al-Jwadi, Mostafa Mansour, Sara Hansen, Isabella Diethelm, Marta Burek, Federico Alvarez, Anders Glent Buch, Nima Mojtahedi, Richard Röttger, Eivind Antonsen Segtnan
Individual testing of samples is time- and cost-intensive, particularly during an ongoing pandemic. Better practical alternatives to individual testing can significantly decrease the burden of disease on the healthcare system. Herein, we presented the clinical validation of Segtnan™ on 3929 patients. Segtnan™ is available as a mobile application entailing an AI-integrated personalized risk assessment approach with a novel data-driven equation for pooling of biological samples. The AI was selected from a comparison between 15 machine learning classifiers (highest accuracy = 80...
April 17, 2024: Scientific Reports