Search

everythingexperts & clinicslearnfaqsresearchcommunity

for

Search:↓

This paper describes a new technique using gentian violet to improve visualization during follicular unit extraction in white-haired patients, suggesting it enhances the accuracy of the procedure.

This tool was developed to enhance reproducibility and sensitivity in measuring partial hair regrowth in alopecia areata patients, particularly those undergoing JAK inhibitor therapy, using scalp photographs.

This study assessed an AI-based mobile app for evaluating androgenetic alopecia severity, finding that it achieved 94% accuracy compared to human dermatologists, while participants often underestimated their own hair loss severity.

This study demonstrates that (9+2) topological patterns derived from fractal fiber sets exist, with nine total patterns and only two being independent or fundamental.

This review discusses Hedgehog inhibitors for basal cell carcinoma treatment, noting tumor regression during therapy but also challenges like muscle toxicity and potential resistance; it reports no new clinical findings.

AI can accurately measure hair loss severity in alopecia areata.

This study found that a deep learning model can potentially improve the diagnosis and staging of alopecia areata with high accuracy and reliability.

This study demonstrated that the Epidermal Biopotential Sensing System (EBSS) can measure digital biomarkers of pain in mice, suggesting potential applications in assessing pain and screening analgesics in populations with communication difficulties.

This study introduces ScalpViT, a new deep learning model that accurately diagnoses visually similar scalp diseases with 94.3% accuracy, outperforming other methods like ResNet-50 and EfficientNet-B3, and providing dual visual explainability through GradCAM and Attention Rollout, potentially benefiting diagnosis in resource-limited settings in India.

This letter discusses the potential of the "Gabrin sign" as an indicator for identifying high-risk COVID-19 patients with androgenic alopecia, yet no specific results are detailed in the text.

This study observed that trichoscopic patterns, such as yellow dots and honey comb patterns, correlate with the severity of androgenetic alopecia in Indian patients, highlighting trichoscopy's diagnostic and prognostic value.

In this study, a modified Xception deep learning model achieved a 92% accuracy rate in diagnosing hair and scalp disorders, significantly outperforming other models, suggesting AI could improve dermatological diagnostics' accuracy and accessibility.

This study reports various methods used by hair transplant surgeons to count and manage follicular grafts during follicular unit extraction hair restoration, including manual counting and the use of automated or digitalized graft counters.

This review discusses the development of an algorithmic guideline for treating androgenetic alopecia in Asian patients, using the BASP classification to address limitations of previous guidelines, and reports no clinical results.

In this study, the authors used a Bayesian Poisson - Hidden Markov Model to analyze COVID-19 cases by blood type in Europe and Africa, finding differences in hidden states and infection rates based on blood type across these regions.

In a comparative genomic study, researchers observed significant genetic differences among the three chemical races of the alga Botryococcus braunii, leading them to propose reclassifying these races as distinct species based on their unique genomic characteristics.

This study suggests that traditional classification systems for pattern hair loss, while useful in the past, have limitations in accuracy and reproducibility, and highlights the potential of integrating digital imaging and AI to create more precise and biologically informed classification frameworks.

In this study, researchers analyzed the occipital donor area for hair transplantation among men aged 50–55 with androgenetic alopecia and found that while most subjects met standard safe donor area criteria, individual variations suggest a conservative approach to donor area selection.

This study introduced the BASP classification, a new system for categorizing pattern hair loss in both men and women, and applied it to analyze 2213 Korean subjects.

This study proposes a new treatment protocol combining autologous regenerative therapy with mesotherapy and photobiostimulation for androgenetic alopecia, leveraging adipose-derived stem cells to stimulate hair follicle regeneration.

This case study reports that a heterozygous missense GJA1 mutation, p.Gly138Ser, in a 2-year-old boy with oculodentodigital syndrome primarily resulted in syndactyly, fifth finger hypoplasia, and hypotrichosis, without neurological or craniofacial abnormalities.

This study found that red OLED irradiation can significantly promote hair regrowth in mice, increasing hair length by 1.5 times and hair regrowth area by over 3 times after 20 days of treatment.

In this study, the researchers developed a quantum algorithm, QuantAnts machines, which identified complexes of CD9, CD34, and CD74 as potential targets for certain cancers involving the RAS pathway.

In this study, the researchers demonstrated an automatic alignment method for beams in an electron pumped excimer laser system that achieved high precision and accuracy, with a reported alignment accuracy of 0.63μrad.

This article presents an algorithmic approach to diagnosing, staging, and treating pattern hair loss and discusses hair transplant decision-making, without reporting new clinical results.

This study developed a novel treatment method using carbon dots from Cinnamomum burmannii leaves, which improved hair regeneration and thickness in an AGA mouse model by promoting cell proliferation, angiogenesis, and reducing inflammation through multiple signaling pathways.

The document explains how hair loss patterns in men and women, known as Androgenetic alopecia, are classified using the Hamilton-Norwood system for men and the Ludwig grade system for women.

This study describes Pseudopelade of Brocq as a rare and enigmatic scarring alopecia characterized by irregular hair loss patterns on the scalp, requiring exclusion of other conditions like lichen planopilaris and discoid lupus erythematosus for a specific diagnosis.