research An Evaluation System to Enhance Patient Selection for Alopecia-Reducing Surgery
The evaluation system improves patient selection for hair loss surgery, leading to fewer but more successful surgeries.
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research 200 Deep learning model to predict sentinel lymph node status in melanoma patients
The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
research A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
Adding obesity data to machine learning models improves heart disease prediction accuracy.
research LB1040 Machine learning-based predictive model with routine blood work identifies moderate-severe alopecia areata
Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.
research Estimativa de idade em indivíduos vivos
Age estimation tests are mostly used in civil cases for adults and the elderly in the Amazon region.
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 1747 PREDICTION OF BLADDER PROSTATIC OBSTRUCTION: DEVELOPMENT OF A SIMPLIFIED CLINICAL NOMOGRAM
Researchers created a simple tool to predict bladder blockage from prostate enlargement using urine flow rate and prostate volume.
research Using a capture–recapture method to assess the frequency of adverse drug reactions in a French university hospital
The study found that combining different databases gives a better estimate of drug side effects in hospitals.
research Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
research A modified Sobel filter-based automated numerical algorithm enables immediate trichoscopic assessment of hair diameter diversity in male and female pattern hair loss
A new computer tool quickly measures hair thickness differences in people with common types of hair loss.
research Cost-effectively dissecting the genetic architecture of complex wool traits in rabbits by low-coverage sequencing
Low-coverage sequencing is a cost-effective way to identify genes related to wool traits in rabbits.
research Optimizing the efficiency of recipient area estimation: a comparative study
Balancing artistic design and precision improves hair transplant results.
research The Price Waterhouse Guide to Financial Management: Tools for Improving Performance
A new method can quickly detect alcohol abuse by analyzing hair in under an hour.
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 Confirmatory factor analysis of the causal illness attribution scale in Chinese patients with multiple somatic symptoms
The two-factor model fits better for Chinese patients' understanding of illness causes than the original four-factor model.
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 Hair dye use: choosing best questions and best method using confidence, concordance and reliability
research 701 Rethinking alopecia scores: Correlating measures of hair loss with established photographic scoring systems
The conclusion suggests that a new system for measuring hair loss could be created using automated analysis of photographs.
research Mathematical Modeling of Alopecia Areata: Unraveling Hair Cycle Dynamics, Disease Progression, and Treatment Strategies
The model helps understand alopecia areata and suggests treatment strategies.
research Hair cluster detection model based on dermoscopic images
The new model detects hair clusters more accurately and efficiently, helping with early hair loss treatment and diagnosis.
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 Revolutionizing Hair Fall Analysis: The Advanced Precipitation U-Net Model
The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.
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 Patient Validation of Estimation of Health Utility Values in Alopecia Areata
Patients with Alopecia Areata are willing to trade life duration for better quality of life.
research A comparative study of linear and nonlinear ANNs as classifiers of animal hair fibers
Nonlinear artificial neural networks are better at identifying different types of animal hair than linear ones.
research Peer Review #3 of "Computational drug repositioning based on side-effects mined from social media (v0.3)"
Reviewers criticized the study's methods and suggested focusing on drug mechanisms instead of repositioning due to social media data quality concerns.
research The temptation of large numbers
Large databases in research can lead to misleading conclusions due to biases and chance findings; researchers should analyze data more rigorously.
research Application of big data analytics in minoxidil drug development: a data-driven model for predicting efficacy and side effect risks
The model predicts minoxidil's effectiveness and side effects better than traditional methods.
research Incidence of alopecia in brain tumour patients treated with pencil scanning proton therapy and validation of existing NTCP models
A standardized scoring system is needed to improve model reliability for predicting hair loss in brain tumor patients treated with proton therapy.
research Congress abstracts SPEDM
The Bethesda system is effective for identifying thyroid cancer but has low sensitivity.