Web: http://arxiv.org/abs/2201.10511

Jan. 26, 2022, 2:11 a.m. | Maja Schlereth (1,2), Daniel Stromer (2), Yash Mantri (3), Jason Tsujimoto (3), Katharina Breininger (1), Andreas Maier (2), Caesar Anderson (4), Pran

cs.LG updates on arXiv.org arxiv.org

Chronic wounds including diabetic and arterial/venous insufficiency injuries
have become a major burden for healthcare systems worldwide. Demographic
changes suggest that wound care will play an even bigger role in the coming
decades. Predicting and monitoring response to therapy in wound care is
currently largely based on visual inspection with little information on the
underlying tissue. Thus, there is an urgent unmet need for innovative
approaches that facilitate personalized diagnostics and treatments at the
point-of-care. It has been recently shown …

arxiv deep deep learning investigations learning monitoring

More from arxiv.org / cs.LG updates on arXiv.org

Data Scientist

@ Fluent, LLC | Boca Raton, Florida, United States

Big Data ETL Engineer

@ Binance.US | Vancouver

Data Scientist / Data Engineer

@ Kin + Carta | Chicago

Data Engineer

@ Craft | Warsaw, Masovian Voivodeship, Poland

Senior Manager, Data Analytics Audit

@ Affirm | Remote US

Data Scientist - Nationwide Opportunities, AWS Professional Services

@ Amazon.com | US, NC, Virtual Location - N Carolina