research “TRICHOASSIST” Trichogram Hair and Scalp Feature Extraction and Analysis Using Image Processing
"TRICHOASSIST" is a system that analyzes hair and scalp images to help diagnose scalp diseases.
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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.
![Benzo[c]quinolizin-3-ones Theoretical Investigation: SAR Analysis and Application to Untested Compounds](/images/research/6712367a-949f-47c7-a756-2bfe6316fc69/small/15331.jpg)
research Benzo[c]quinolizin-3-ones Theoretical Investigation: SAR Analysis and Application to Nontested Compounds
The research found a link between certain molecular features and the biological activity of BC3, which can help identify or create new active compounds.
research ANÁLISES COMPUTACIONAIS PREDITIVAS COMO UM NOVO BIOPODER: MODIFICAÇÕES DO TEMPO NA SOCIEDADE DOS SENSORES
Predictive computational analyses have evolved biopower by using technology to track and predict individual and group behaviors.
research Prediction of gain-of-function and loss-of-function mutations using Combined Annotation Dependent Depletion (CADD)
C-scores can help predict gain-of-function and loss-of-function mutations.
research De novo variation in ARID1B gene causes Coffin-Siris syndrome 1 in a Chinese family with excessive early-onset high myopia
A new ARID1B gene variation causes Coffin-Siris syndrome 1 and early high myopia in a Chinese family.
research Clinical diagnosis of COVID-19: a prompt, feasible, and 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 a quick, affordable, and accurate method for diagnosing COVID-19.
research A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitions
A new neural network helps identify key regulators in cell changes, aiding in understanding diseases and finding new treatments.
research DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
AI can effectively detect hair and scalp disorders from images.
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 A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
Machine learning can accurately diagnose PCOS non-invasively using clinical and ultrasound features.
research Kaleidoscope
Countries with stricter cultures had fewer COVID-19 cases and deaths, paranoia is linked to false memories, psychosocial intervention works as well with or without antipsychotic drugs for young people with psychosis, smartphones can detect changes in behavior indicating illness relapse, and recruitment agents show regional and gender biases.
research Forensic DNA phenotyping: a review on SNP panels, genotyping techniques, and prediction models
Forensic DNA phenotyping faces challenges like inconsistent terms and limited genetic knowledge.
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 An algorithmic approach to scalp reconstructive surgery: maximization of cosmetic and functional outcomes
The approach improves scalp surgery results by tailoring techniques to defect size and location.
research Evaluation of loci to predict ear morphology using two SNaPshot assays
Genetic markers can help predict ear shapes for forensic use.
research scMC learns biological variation through the alignment of multiple single-cell genomics datasets
scMC effectively separates biological signals from technical noise in single-cell genomics data.
research Derivation and validation of the Systemic Lupus International Collaborating Clinics classification criteria for systemic lupus erythematosus
The new SLICC criteria for diagnosing lupus are more sensitive and accurate than the old criteria.
research A flexible fixed-sequence testing method for hierarchically ordered correlated multiple endpoints in clinical trials
The flexible fixed-sequence testing method allows for more effective evaluation of multiple goals in a clinical trial while controlling the risk of false positives.
research Diagnostic accuracy measures for vertical and transverse scalp biopsies in cicatricial and non-cicatricial alopecias
Transverse scalp biopsies are more accurate for diagnosing non-cicatricial alopecia, but examining both types is best for accuracy.
research A HISTOCHEMICAL TEST FOR CITRULLINE ADAPTATION OF THE CARBAMIDO DIACETYL REACTION TO HISTOLOGIC SECTIONS WITH POSITIVE RESULTS IN PILOMATRIXOMAS (CALCIFYING EPITHELIOMAS)
A new test more accurately detects citrulline in hair follicles and pilomatrixomas.
research Przewidywanie cech wyglądu człowieka na podstawie markerów DNA do celów medyczno-sądowych i kryminalistycznych
DNA markers can predict physical traits for forensic use, but there are ethical and technical challenges.
research Forensic and Legal Medicine
Forensic medicine is crucial for justice and needs continuous innovation and technology integration.
research Derivation and validation of the Systemic Lupus International Collaborating Clinics classification criteria for systemic lupus erythematosus
The new criteria for classifying lupus are more accurate and comprehensive.
research A Three-Step Diagnostic Algorithm for Alopecia: Pattern Analysis in Trichoscopy
A new method improves alopecia diagnosis using non-invasive steps.
research Automating Hair Loss Labels for Universally Scoring Alopecia From Images
The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
research Utility of GLI1 RNA Chromogenic in Situ Hybridization in Distinguishing Basal Cell Carcinoma From Histopathologic Mimics
GLI1 RNA CISH effectively identifies basal cell carcinoma but is less specific for benign follicular tumors.
research 284 Deciphering the pathogenesis of central centrifugal cicatricial alopecia
CCCA in women of African ancestry may be caused by PADI3 gene mutations and intense hair grooming.
research Agglomerative clustering-based drugs graded for the risk signals of drug-induced cognitive disorder: a study on the FAERS database
Finasteride is high-risk for cognitive disorders, while Carbidopa/Levodopa, Topiramate, and Clonazepam are moderate-risk.
research Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.