research Epidemiology and burden of alopecia areata in Taiwan: a systematic review
Alopecia areata in Taiwan has a high disease burden and needs better research and diagnostic criteria.
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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 computational approach to mechanistic and predictive toxicology of pesticides
Pesticides can cause reproductive and adrenal health issues.
research A guide for building biological pathways along with two case studies: hair and breast development
The document explains how to create detailed biological pathways using genomic data and tools, with examples of hair and breast development.
research Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
The new model improves Alopecia Areata classification accuracy to 93.1%.
research Evidence summary and critical appraisal of studies on the effectiveness and safety of non-conventional treatments for male androgenetic alopecia: a protocol for a systematic review
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 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 Exploring the combination and modular characteristics of herbs for alopecia treatment in traditional Chinese medicine: an association rule mining and network analysis study
Certain herbal combinations in traditional Chinese medicine might be effective for treating hair loss, focusing on liver or stomach health.
research Therapeutic Burden as Predictor of Response to Baricitinib for Alopecia Areata in Real Life: Prospective Study
Patients with fewer past treatments for alopecia areata respond better to baricitinib.
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 Ann Robinson’s research reviews —12 May 2022
Self-monitoring blood pressure in pregnant women didn't improve outcomes, diabetes drugs may increase gallbladder disease risk, a new drug helps severe hair loss, a plant-based COVID-19 vaccine is 69.5% effective, and new anticoagulants are safer for diabetics with heart rhythm issues than warfarin.
research Fail-tests of DNA methylation clocks, and development of a noise barometer for measuring epigenetic pressure of aging and disease
Elastic Net DNA methylation clocks are inaccurate for predicting age and health status; a "noise barometer" may better indicate aging and disease.
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 Editorial for issue 3 of 2012, Journal of Evidence Based Medicine
The issue discussed China's research contributions, systematic review improvements, and featured various medical studies and trials.
research The impact, prevalence, and association of different forms of hair loss among individuals with anxiety disorder: Systematic review and meta-analysis
People with hair loss are more likely to have anxiety.
research The Follicle Inference Engine (FIE): A stochastic digital twin and optimal experimental design framework for androgenetic alopecia
research Prediction of male-pattern baldness from genotypes
Genetic data can predict male-pattern baldness with moderate accuracy, especially for early-onset cases in some European men.
research Signaling pathways in the mechanisms of drug action
Signaling pathways are key targets for developing effective drugs.
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 Allopregnanolone in the bed nucleus of the stria terminalis modulates contextual fear in rats
Allopregnanolone affects fear responses differently in male and female rats, possibly explaining sex differences in anxiety disorders.
research Prediction of Alopecia Areata using CNN
A new CNN model can detect Alopecia Areata with 98% accuracy.
research Exome-wide age-of-onset analysis reveals exonic variants in ERN1 and SPPL2C associated with Alzheimer’s disease
Researchers found two new genetic variants linked to Alzheimer's disease.
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 In-silico cardiac aging regulatory model including microRNA post-transcriptional regulation
Researchers created a model to understand heart aging, highlighting the role of microRNAs and identifying key genes and pathways involved.
research Isotope Dilution-Based Targeted and Nontargeted Carbonyl Neurosteroid/Steroid Profiling
Researchers created a new method to measure brain steroids, finding higher levels of certain steroids and changes due to a drug.
research An Explainable AI-Based Decision Support System for Teaching and Classifying Hair Loss Types
The AI system accurately classifies hair loss types and explains its decisions.
research Pathophysiological mechanisms implicated in postpartum depression
Postpartum depression is linked to changes in brain chemicals, inflammation, stress, and certain genes, and can potentially be identified by markers like specific steroids, serotonin levels, and vitamin D levels.
research Effects and Safety of Botulinum Toxin Injection in Treatment of Androgenetic Alopecia: A Meta-analysis and Systematic Review
Botulinum toxin injections can safely increase hair count in androgenetic alopecia.
research Pharmacophore Modeling and Three Dimensional Database Searching for Drug Design Using Catalyst: Recent Advances
The document concludes that Catalyst software is effective for drug design, identifying potent compounds for various medical conditions.