UVM KID Study: Identifying Multimodal Features and Optimizing Wearable Instrumentation to Detect Child Anxiety. - Bryn C. Loftness; Julia Halvorson-Phelan; Aisling O'Leary; Nick Cheney; Ellen W. McGinnis; Ryan S. McGinnis (EMBC, 2022)

Toward Digital Phenotypes of Early Childhood Mental Health via Unsupervised and Supervised Machine Learning. - Bryn C. Loftness; Donna M. Rizzo; Julia Halvorson-Phelan; Aisling O'Leary; Shania Prytherch; Carter Bradshaw; Anna Jane Brown; Nick Cheney; Ellen W. McGinnis; Ryan S. McGinnis (EMBC, 2023)

Multimodal Markers of Transdiagnostic Childhood Mental Health Impairment. - Josh Cherian; Bryn C. Loftness; Jenna G. Cohen; Julia Halvorson-Phelan; Ellen W. McGinnis; Ryan S. McGinnis (BSN, 2024)

The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health. - Bryn C. Loftness; Julia Halvorson-Phelan; Aisling O'Leary; Carter Bradshaw; Shania Prytherch; Isabel Berman; John B. Torous; William E. Copeland; Nick Cheney; Ryan S. McGinnis; Ellen W. McGinnis (IEEE J. Biomed. Health Informatics, 2024)