Poster award winners announced ahead of NYC
Awards have been conferred for scientific posters that will be exhibited at the 2026 AAD Innovation Academy, July 16-19.
“The revival of the Innovation Academy Scientific Posters program has exceeded every expectation. For a program that’s only recently returned, the volume and quality of abstract submissions speak volumes about the innovation happening across our specialty,” said Adam Friedman, MD, FAAD, AAD Poster Exhibit Task Force Chair.
“Our Poster Exhibit Review Panel had the difficult task of selecting from an exceptionally strong pool of submissions, and the abstracts ultimately chosen highlight the breadth of impactful clinical and translational research shaping the future of dermatology,” Dr. Friedman said.
Poster presentations will take place during the Welcome Reception on Thursday, July 16, from 6-7:30 p.m.
1st place winner:
Poster ID # 85529
Poster abstract title: “The Specialization Paradox: When Medical AI Advancement Deepens Diagnostic Inequality Across Skin Tones”
Primary author: Victoria Koziarz, MBBS
Institution: University of Limerick
2nd place winner:
Poster ID # 85468
Poster abstract title: “Longer Hair Loss Duration Is Associated With Reduced Response to Low-Dose Oral Minoxidil Initiation in Androgenetic Alopecia”
Primary author: Archie Spindler, BA
Institution: The Ronald O. Perelman Department of Dermatology, New York University Grossman School of Medicine
3rd place winner:
Poster ID # 85685
Poster abstract title: “Asymmetric Perifollicular Hypopigmentation as a Dermoscopic Feature of Early-Stage High Cumulative Sun Damage Melanoma”
Primary author: Navya Murugesan, BS
Institution: Penn State College of Medicine
4th place winner:
Poster ID # 85461
Poster abstract title: “Association Between Hidradenitis Suppurativa and Eating Disorders in the NIH All of Us Research Program”
Primary author: Andrew Craver
Institution: Yale School of Medicine
Honorable mention:
Poster ID # 84100
Poster abstract title: “Diagnostic Accuracy and Equity of Four Consumer AI Chatbots on Smartphone Dermatological Images: A Comparative Study Using the SCIN Dataset”
Primary author: Kevin Tabatabaei, BSc
Institution: Mayo Clinic Alix School of Medicine
