The Lancet

Global, regional, and national cascades of diabetes care, 2000–23: a systematic review and modelling analysis using findings from the Global Burden of Disease Study

aInstitute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA bSchool of Medicine, University of Washington, Seattle, WA, USA cGeneral Medicine Service, Department of ...
IEEE

Deep Learning for Early Skin Disease Detection: A Multi-Model CNN Performance Evaluation

Abstract: Many people face skin problems each year, which makes this a real health concern. We chose this project for that reason. A clear diagnosis is hard because mild spots and serious cases can ...
Dorchester Reporter

Project DEEP marks 30 years at Florian awards ceremony

Above: Michael McDonough of Project DEEP, Bill O’Brien, Head Football Coach of Boston College, and Ryan McCarthy of Project DEEP. Front:Alex Nguyen and Aliya Lambright, 2026 student essay contest ...
IEEE

Automatic Animal Skin Disease Detection Using Transfer Learning with MobileNetV2

Abstract: This paper proposes an automatic, image-based system to detect common skin diseases in dogs using deep learning and transfer learning techniques. To efficiently perform the classification of ...