January 2024 in “Authorea (Authorea)” In this retrospective study of 1,415 male hair transplant patients, punch technology improvements for the FUE method were associated with an increased number of total grafts and multi-hair follicular units over time, making FUE a preferred choice for hair transplantation.
February 2024 in “Frontiers in physics” This study developed a model for detecting sparse hair clusters using enhanced object detection neural networks and medical images, which accurately identifies and counts sparse hair clusters with greater accuracy and efficiency than existing methods.
January 2025 in “Communications in computer and information science” HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.
February 2026 in “Pharmaceuticals” This study introduced the KRDQN predictive framework, which outperformed existing methods in predicting adverse drug reactions and provided interpretable insights into drug mechanisms, aiding pharmacovigilance and clinical decision-making.
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July 2023 in “Journal of Cutaneous and Aesthetic Surgery” This review highlights the advantages of a new "Multi-Wave Punch" for follicular unit extraction in hair transplantation, noting its design reduces follicular damage and improves graft quality by effectively separating hair follicles from surrounding tissue.
