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      New Instrumentation for Hair Transplantation Surgery

      research New Instrumentation for Hair Transplantation Surgery

      3 citations , June 1998 in “Dermatologic Surgery”
      This article describes newly designed tools that reportedly ease and enhance hair transplantation surgery by improving precision, reducing graft trauma, and monitoring essential conditions.
      International Society of Hair Restoration Surgery

      research International Society of Hair Restoration Surgery

      July 1998 in “Dermatologic Surgery”
      Various techniques and tools for hair restoration were presented in 1998, including a mathematical model for donor area, use of lasers in surgery, methods for controlling grafted hair direction, and ways to increase graft yield. Satisfaction rates were around 39%, and studies showed trauma and dehydration can damage hair follicles.
      Contrasting Narratives of Race and Fatness in COVID-19

      research Contrasting Narratives of Race and Fatness in Covid-19

      5 citations , November 2021 in “History & Philosophy of the Life Sciences”
      This article explores how narratives around racial and ethnic minorities versus fat individuals during the Covid-19 pandemic influenced the framing of these groups as "at-risk," with disparities in blame and responsibility linked to structural racism and anti-obesity rhetoric.
      Folliculitis Keloidalis Nuchae and Pseudofolliculitis Barbae

      research Folliculitis Keloidalis Nuchae and Pseudofolliculitis Barbae

      49 citations , March 2014 in “Dermatologic clinics”
      This article discusses the causes, development, treatment, and prevention strategies for pseudofolliculitis barbae and folliculitis keloidalis nuchae, but reports no new clinical results.
      High-Throughput Phenotyping Methods for Quantifying Hair Fiber Morphology

      research High-throughput phenotyping methods for quantifying hair fiber morphology

      1 citations , November 2020 in “bioRxiv (Cold Spring Harbor Laboratory)”
      This study introduced a new high-throughput method for analyzing scalp hair morphology and found that quantifying hair form provides more accurate information than traditional classification based on racial categories, challenging the belief that cross-sectional morphology predicts hair curvature.

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