This study presents a non-invasive approach to detect anxiety and depression through gait analysis and machine learning, ...

“By default, if we’re using screening at a postpartum visit as our primary means of detecting postpartum depression, we’re already missing 30-40% of people,” Clapp said.

Contacts Wenli Zhang, I nformation Systems and Business Analytics, [email protected], 515-294-2469 Lisa Schmitz, News Service, [email protected], 515-294-0704 Read the paper “Depression Detection ...

G protein-coupled receptors (GPCRs) remain a focal point of research due to their critical roles in cell signaling and their prominence as drug targets. However, directly linking drug efficacy to the ...

Diabetic retinopathy (DR), a leading cause of vision impairment worldwide, primarily impacts individuals with diabetes, making early detection vital to prevent irreversible vision loss. Leveraging ...

A comprehensive review by Botezatu et al. (2024) further underscores the importance of deep learning in road surface analysis. This study highlights state-of-the-art convolutional neural network (CNN) ...

Study in Npj Digital Medicine evaluates COMPOSER, a deep learning model for early sepsis prediction, showing its effectiveness in improving patient care and reducing in-hospital mortality rates.