research A Comparative Study of Machine Learning Algorithms in Predicting Mental Disorders
Machine learning can accurately predict mental disorders.
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research A New Universal Follicular Unit Excision Classification System for Hair Transplantation Difficulty and Patient Outcome
The new SFS Scale predicts hair transplant difficulty using hair and skin types, with thick skin and coily hair being hardest to work with.
research Multifactorial Classification of Male and Female Androgenetic Alopecia
Different factors help diagnose and treat hair loss accurately.
research An Expert System for Clinical Risk Assessment of Polycystic Ovary Syndrome under Uncertainty
The document concludes that the new expert system can assess the risk of PCOS effectively despite uncertainties in diagnosis.
research Digital measurement of melasma: Towards eliminating subjectivity from treatment evaluation
The digital system for measuring melasma shows promise but needs more development for better accuracy and automation.
research A retrospective chart review of central centrifugal cicatricial alopecia patients at a single urban institution
Most patients with Central Centrifugal Cicatricial Alopecia at the reviewed institution were middle-aged Black women, often with no symptoms, and commonly treated with topical medications.
research Modeling share dynamics by extracting competition structure
The model can predict website market shares by identifying competition among them.
research Advance in classification of androgenetic alopecia
research P154 Revised basic and specific (BASP) classification for pattern hair loss
The revised BASP classification for hair loss is less accurate and harder to use but could still be a viable option.
research Dermatoscopic features of central centrifugal cicatricial alopecia
Researchers found a white halo around hair in most patients with a specific type of hair loss, which helps in early diagnosis and treatment.
research Effective holistic characterization of small molecule effects using heterogeneous biological networks
Integrating biological networks improves drug repurposing and ADR prediction.
research 412 DETECTION OF CIRCULATING PROSTATE CANCER CELLS BY MEANS OF AN ANTIBODY-CONJUGATED NANOPARTICULAR BIOSENSOR
The document concludes that a new biosensor can efficiently detect prostate cancer cells and that standardized referrals help find significant cancers effectively.
research Development of a new classification and scoring system for scalp conditions: Scalp Photographic Index (SPI)
research Reclassification of Botryococcus braunii chemical races into separate species based on a comparative genomics analysis
Botryococcus braunii's three chemical races should be reclassified as separate species.
research Rule-out test for autism using machine-learning analysis of molecular temporal dynamics in hair - a multicenter study
A machine-learning test using hair can help detect autism early in infants.
research Characterizing enteric neurons in dopamine transporter (DAT)‐Cre reporter mice reveals dopaminergic subtypes with dual‐transmitter content
Dopaminergic neurons in the gut have diverse subtypes with different neurotransmitter contents.
research Cutaneous Adnexal Cysts Revisited: What We Know and What We Think We Know
A new classification system for skin cysts was proposed to improve diagnosis.
research An Automatic AI‐Based Algorithm That Grades the Scalp Surface Exfoliating Process From Video Imaging. Application to Dandruff Severity and Its Validation on Subjects of Different Ages and Ethnicities
The AI device accurately grades scalp exfoliation and can help diagnose scalp disorders.
research 1616 Cross-comparison of inflammatory skin disease transcriptomics identifies PTEN as a pathogenic disease classifier in cutaneous lupus erythematosus
PTEN was identified as a specific marker for the skin disease cutaneous lupus erythematosus, and it helps increase the expression of harmful type I interferons.
research An Improved Face Image Restoration Method Based on Denoising Diffusion Probabilistic Models
The new method improves facial image restoration quality and face recognition accuracy.
research Identification of Hypoxia and Mitochondrial-related Gene Signature and Prediction of Prognostic Model in Lung Adenocarcinoma
A gene-based model predicts lung adenocarcinoma outcomes and helps guide treatment decisions.
research PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis
The new AI system accurately diagnoses hair disorders and offers personalized treatment recommendations.
research Case-Only Trees and Random Forests for Exploring Genotype-Specific Treatment Effects in Randomized Clinical Trials with Dichotomous End Points
Case-only trees and random forests improve predictions of treatment effects in clinical trials.
research The AndroCoV Clinical Scoring for COVID-19 Diagnosis: A Prompt, Feasible, Costless, and Highly Sensitive Diagnostic Tool for COVID-19 Based on a 1757-Patient Cohort
The AndroCoV Clinical Scoring is a quick, accurate, and free tool for diagnosing COVID-19.
research A Machine Learning Algorithm Applied to Trichoscopy for Androgenic Alopecia Staging and Severity Assessment
The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
research Basal Cell Carcinoma With Matrical Differentiation: Expression of .-catenin and Osteopontin
Basal cell carcinoma with matrical differentiation is a rare type linked to hair follicles, with .-catenin important for its development.
research Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma
The research created a detailed map of skin cells, showing that certain cells in basal cell carcinoma may come from hair follicles and could help the cancer grow.
research Rapid Screening of Anticoagulation Compounds for Biological Target-Associated Adverse Effects Using a Deep-Learning Framework in the Management of Atrial Fibrillation
The framework helps predict adverse effects of blood thinners, improving drug selection for atrial fibrillation.
research Central centrifugal cicatricial alopecia
CCCA is a common, progressive hair loss condition that may not always be linked to hair care practices and requires a biopsy for diagnosis.
research Hair casts: Classification, staining characteristics, and differential diagnosis
A new method helps identify and classify different types of hair casts.