research A Feature-Preserving Hair Removal Algorithm for Dermoscopy Images
The algorithm effectively removes hair from skin images, improving melanoma diagnosis accuracy.
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research A Combinatorial Tweet Clustering Methodology Utilizing Inter and Intra Cosine Similarity
The method effectively grouped tweets into categories without knowing the number of groups beforehand.
research Detecting shortcut learning for fair medical AI using shortcut testing
The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.
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 Systematic analysis of somatic mutations driving cancer: uncovering functional protein regions in disease development
A new method, iSiMPRe, effectively identifies key protein regions in cancer genes, highlighting potential drug targets.
research Progress in computer-assisted function analysis
research Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
The new method improves skin cancer detection in imbalanced datasets.
research A Novel Fusion Technique for Early Detection of Alopecia Areata Using ResNet-50 and CRSHOG
AlopeciaDet accurately detects Alopecia Areata early using advanced image analysis.
research Re-identification of anonymised MRI head images with publicly available software: investigation of the current risk to patient privacy
Standardized de-facing protocols can prevent identification from anonymized MRI images, enhancing privacy protection.
research A new tool for conditional gene manipulation in a subset of keratin‐expressing epithelia
The Megsin-Cre transgene is a new tool for genetic manipulation in the skin and upper digestive tract.
research Contract cheating websites in Spain (2019–2024): web traffic trends during COVID-19 and the rise of generative AI
Contract cheating website traffic in Spain surged during COVID-19 but declined with the rise of AI tools.
research Unraveling the Strand: A Comprehensive Review on the Forensic Significance of Microscopic Human Scalp Hair Analysis
Microscopic hair analysis is important in forensics but has limitations; new technologies are improving its accuracy.
research Strategies for High-Efficiency Mutation Using the CRISPR/Cas System
Improving CRISPR/Cas systems can make gene editing more efficient and precise.
research scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
scINSIGHT accurately identifies cell clusters and gene patterns in complex data.
research Algorithms in Trichoscopy
Androgenetic alopecia is the only hair loss condition with specific diagnostic criteria in trichoscopy.
research Drug Repositioning with GraphSAGE and Clustering Constraints Based on Drug and Disease Networks
The method effectively predicts new drug uses, including potential COVID-19 treatments.
research Importancia del microscopio en el análisis de pelos en la Criminología y en la Criminalística
Microscopes are essential for telling apart human and animal hair in criminal investigations.
research Smart Diagnostic System for Health Risk Assessment
WomenCare helps predict PCOD risk in women to encourage early medical consultation.
research Xgboost Algoritmasıyla Polikistik Over Sendromu Teşhisi
XGBoost can effectively diagnose PCOS with 87% accuracy.
research Forensic DNA Phenotyping
Forensic DNA Phenotyping accurately predicts physical traits and is used in investigations, but needs more diverse population data for confirmation.
research Genomic Portraiture: The Science and Ethics of DNA Phenotyping in Identity Prediction
DNA phenotyping can predict physical traits like eye, hair, and skin color, improving forensic investigations.
research AI04 A novel machine learning software application for prognosticating cutaneous malignant melanoma based on data from 78 351 patients from the Surveillance, Epidemiology, and End Results (SEER) database
The new AI software predicts melanoma outcomes more accurately than traditional methods.
research Proteomic Analysis of Crimped and Straight Wool in Chinese Tan Sheep
Crimped wool has proteins linked to crimp formation, while straight wool has proteins linked to fiber fineness, which can improve wool quality and value.
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 Forensic DNA phenotyping: the need for proportionate regulation and judicial clarity in law enforcement
Unified regulations and ethical guidelines are needed for fair use of forensic DNA phenotyping.
research An Integrated Approach for Diabetes Detection Using Fisher Score Feature Selection and Capsule Network
The method accurately detects diabetes with 94% effectiveness, reducing misdiagnosis risk.
research Validation of alopecia coding in US claims data among women of childbearing age
The algorithm accurately identified alopecia in women of childbearing age using claims data.
research 202 Automated assessment of tumor infiltrating lymphocytes informs mortality in thin melanoma
An automated system can predict death risk in thin melanoma by analyzing immune cells.
research A DEEP LEARNING APPROACH FOR DIAGNOSIS OF COVID-19 INFECTION AND ITS RELATED FACTORS: A POPULATION-BASED STUDY
The random forest model effectively helps diagnose COVID-19 using key factors like age and symptoms.
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 study concludes that the new clinical scoring system is a quick, low-cost, and accurate method for diagnosing COVID-19.