research Standardizing the Classification and Description of Follicular Unit Transplantation and Mini-Micrografting Techniques
Surgeons suggested a standard system for hair transplant methods to improve communication and results.
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research A New Classification of Male Pattern Baldness and a Clinical Study of the Anterior Hairline
Researchers created a new system to classify male baldness, finding six types and a common hairline shape, to improve hair loss treatments.
research PTCH1 Germline Mutations and the Basaloid Follicular Hamartoma Values in the Tumor Spectrum of Basal Cell Carcinoma Syndrome (NBCCS)
NBCCS and BFHS might be the same syndrome, helping better identify and manage cases.
research The Adapted Classification of Male Pattern Hair Loss Improves Reliability
Adapted classification better assesses male pattern hair loss and its link to heart disease.
research DrugNet: Network-based drug–disease prioritization by integrating heterogeneous data
DrugNet effectively identifies new uses for existing drugs and may save resources in drug development.
research An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
Deep learning can accurately detect Alopecia Areata with up to 98.3% accuracy.
research QuantAnts machines discover biomarkers for RAS signaling activation and design sgRNAs for CRISPR to target complex CD9, CD34, and CD74.
The QuantAnts machines can find cancer markers and create CRISPR targets for them.
research How different is human hair? A critical appraisal of the reported differences in global hair fibre characteristics and properties towards defining a more relevant framework for hair type classification
Human hair varies widely and should be classified by curl type rather than race.
research Application of the basic and specific classification on patterned hair loss in Indians
The BASP classification is effective for diagnosing pattern hair loss in Indian men and women.
research S88 Does cone beam computed tomography decrease CTV's margins in prostate cancer radiation treatment?
Cone beam computed tomography can allow for smaller safety margins around the target area in prostate cancer radiation treatment if used for ongoing treatment checks.
research 198 Reliable and interpretable segmentation for remote assessment of atopic dermatitis severity using digital images
The improved EczemaNet more reliably and clearly identifies and assesses the severity of atopic dermatitis from photos.
research Regulation of cashmere fineness traits by noncoding RNA in Jiangnan cashmere goats
Noncoding RNAs help determine cashmere quality in goats.
research Collider bias undermines our understanding of COVID-19 disease risk and severity
Collider bias can distort our understanding of COVID-19 risk and severity.
research RESEARCHComparing Strategies for Identifying Falls in Older Adult Emergency Department Visits Using EHR Data
Natural language processing is the most accurate method for identifying falls in older adults in emergency departments.
research Central Centrifugal Cicatricial Alopecia
CCCA is a common, scarring hair loss in Black women that needs early detection.
research Reimagining Hair Science: A New Approach to Classify Curly Hair Phenotypes via New Quantitative Geometrical & Structural Mechanical Parameters
A new system for classifying curly hair types using precise measurements can improve hair care products and cultural inclusion.
research scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
scINSIGHT accurately identifies cell clusters and gene patterns in complex data.
research LabeledIn: Cataloging labeled indications for human drugs
Researchers created LabeledIn, a detailed list of drug uses, showing the importance of human input in making such lists.
research Classification of hair disease
Classifying hair diseases, like alopecia, is difficult and needs more research to understand their causes.
research GAN-Based ROI Image Translation Method for Predicting Image after Hair Transplant Surgery
The new method predicts post-hair transplant images more accurately than other methods.
research Obsessive-compulsive skin disorders: a novel classification based on degree of insight
The new classification system for skin disorders emphasizes the importance of understanding a patient's awareness of their condition for better treatment.
research Clinical Diagnosis of COVID-19: a Prompt, Feasible, Costless, and Highly Sensitive Diagnostic Tool for COVID-19 Based on a 1,757-Patient Cohort (The AndroCoV Clinical Scoring for COVID-19 Diagnosis).
The AndroCoV Clinical Scoring is an accurate, easy, and free way to diagnose COVID-19 without a lab test.
research Collider bias undermines our understanding of COVID-19 disease risk and severity
Collider bias can mislead our understanding of COVID-19 risk and severity.
research Central Centrifugal Cicatricial Alopecia (CCCA): Unraveling the Complexities of a Scarring Hair Disorder
CCCA is a scarring hair disorder mainly affecting people of African descent, needing better awareness and treatment.
research Using artificial intelligence to compute Severity of Alopecia Tool scores
AI can accurately measure hair loss severity in alopecia areata.
research Identification and single-cell analysis of prognostic genes related to mitochondrial and neutrophil extracellular traps in bladder cancer
Six key genes can predict bladder cancer outcomes and may serve as prognostic biomarkers.
research Classified Advertising
The document listed medical job ads and guidelines for breast cancer screening.
research Perbandingan Algoritma Multi-Thresholding, Konversi Biner, Low-Pass Filtering pada Segmentasi Rambut Kaki
Multi-thresholding is the best method for separating hair from skin in laser hair removal.
research Xgboost Algoritmasıyla Polikistik Over Sendromu Teşhisi
XGBoost can effectively diagnose PCOS with 87% accuracy.
research Neurospectrum: A Geometric and Topological Deep Learning Framework for Uncovering Spatiotemporal Signatures in Neural Activity
Neurospectrum effectively analyzes neural signals to predict and identify brain activity patterns better than traditional methods.