The Specialist doctor from the University Hospital in Gothenburg, alumnus UC Berkeley. My doctoral dissertation is about Digital Health and I have published 5 scientific articles in teledermatology and artificial intelligence and others.
Doctor Alexander Börve biography
Specialist doctor from the University Hospital in Gothenburg, Sweden. I moved to the Bay Area in January 2013 and I attended the School of Public Health, UC Berkeley from 2013 to 2014 as a visiting PhD candidate. My PhD thesis is on Digital Health and so far I have published 4 peer review scientific papers. I founded First Derm in 2014.
Research articles by Doctor Alexander Börve
<h3>References</h3> <ol> <li>Börve A., and R. Molina-Martinez. “A Pilot Study of a Medical Information Service Using Mobile Phones in Sweden.” <a href="https://journals.sagepub.com/doi/abs/10.1258/jtt.2009.009002?journalCode=jtta" target="_blank" rel="noopener">Journal of Telemedicine and Telecare 15.8 (2009): 421-22. Web.</a></li> <li>Börve A., Holst A., Gente-Lidholm A, Molina-Martinez R., and Paoli J. “Use of the mobile phone multimedia messaging service for teledermatology.” <a href="https://journals.sagepub.com/doi/10.1258/jtt.2012.120206" target="_blank" rel="noopener">Journal of Telemedicine and Telecare (2012): 18- 292. Web.</a></li> <li>Börve, A., Terstappen K., Sandberg C., and Paoli J. “Mobile Teledermoscopy—there’s an App for That!” <a href="https://www.derm101.com/dpc/april-2013-volume-3-no-2/mobile-teledermoscopy-theres-an-app-for-that/" target="_blank" rel="noopener">Dermatology Practical & Conceptual 3.2 (2013): n. pag. Web.</a></li> <li>Börve A, Dahlén Gyllencreutz J, Terstappen K, Johansson Backman E, Aldenbratt A, Danielsson M, Gillstedt M, Sandberg C, Paoli J. “Smartphone Teledermoscopy Referrals: A Novel Process for Improved Triage of Skin Cancer Patients.” <a href="https://www.medicaljournals.se/acta/content/abstract/10.2340/00015555-1906" target="_blank" rel="noopener">Acta Derm Venereol (2014). Web.</a></li> <li>Using artificial intelligence on dermatology conditions in Uganda: A case for diversity in training data sets for machine learning Henry Kamulegeya, Mark Okello, John Mark Bwanika, Davis Musinguzi, William Lubega, Davis Rusoke, Faith Nassiwa, Alexander Börve (in review) doi: <a href="https://www.biorxiv.org/content/10.1101/826057v1">https://www.biorxiv.org/content/10.1101/826057v1</a></li> </ol> JAKOB KISSELGOF. "Malignant Melanoma Classification with Deep Learning" <a href="https://pdfs.semanticscholar.org/2fba/c451f80605438a7a68d088aafd015091d83a.pdf" target="_blank" rel="noopener">Biomedical Engineering and Health Systems School of Engineering Sciences in Chemistry, Biotechnology and Health The Royal Institute of Technology. Stockholm 24/01/2019. </a>
