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.
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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 Impact of comorbidity burden on mortality in patients with COVID-19: a retrospective analysis of the Korean health insurance database
Older age and existing health issues increase COVID-19 death risk.
research Validation of a Cross-cultural Adaptation of the Hair Specific Skindex-29 Scale to Spanish
The Spanish version of the Hair Specific Skindex-29 is a reliable tool for measuring quality of life in Spanish-speaking women with hair loss.
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 MiR‐200c‐3p as a novel genetic marker and therapeutic tool for alopecia areata
miR-200c-3p could help diagnose and treat alopecia areata.
research Hepatocyte growth factor combined with adenosine deaminase as biomarker for diagnosis of tuberculous pleural effusion
HGF combined with ADA is highly accurate for diagnosing tuberculous pleural effusion, especially in younger females.
research Identification of Potential Biomarkers for Diagnosis of Patients with Methamphetamine Use Disorder
Gene expression in hair follicles can help diagnose methamphetamine use disorder.
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 KRDQN: An Interpretable Prediction Framework for Adverse Drug Reactions via Knowledge–Graph Reinforced Deep Q-Learning
KRDQN effectively predicts adverse drug reactions with high accuracy and clear explanations.
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 Proof-of-Principle Study of Inflammasome Signaling Proteins as Diagnostic Biomarkers of the Inflammatory Response in Parkinson’s Disease
Inflammasome proteins may help diagnose and treat Parkinson's disease.
research Identifying effective immune biomarkers in alopecia areata diagnosis based on machine learning methods
Machine learning can help find new ways to treat alopecia areata.
research Artificial Intelligence in Dermatology: Assessing Predictability in Clinical Diagnosis
The AI showed high accuracy in diagnosing skin conditions but needs improvement for immunological and infectious disorders.
research Relationship between Platelets, Plateletcrit and Lymphocytes in the Complete Blood Count and Recurrent Implantation Failure: A Retrospective Study
Blood count parameters are not reliable for predicting recurrent implantation failure.
research The Percentage of Free PSA and Urinary Markers Distinguish Prostate Cancer from Benign Hyperplasia and Contribute to a More Accurate Indication for Prostate Biopsy
% free PSA and urinary markers help better identify prostate cancer.
research Bioinformatics analysis and verification of m6A related genes based on the construction of keloid diagnostic model
IGF2BP3 and other m6A-related genes are linked to keloid formation and could be potential treatment targets.
research A weighted non-negative matrix factorization approach to predict potential associations between drug and disease
WNMFDDA effectively predicts drug-disease associations.
research A novel predictive model for the recurrence of pediatric alopecia areata by bioinformatics analysis and a single-center prospective study
A new model uses specific blood markers to predict if children's hair loss will return.
research Serum-Based Assessment of Alopecia Areata Response to Treatment Using ATR-FTIR Spectroscopy
ATR-FTIR spectroscopy could help monitor alopecia areata treatment response non-invasively.
research Food Administration and Not Genetic Variants Causes Pharmacokinetic Variability of Tadalafil and Finasteride
Food intake, not genetics, affects how the body processes tadalafil and finasteride.
research Hair metal dysregulation in Parkinson’s disease: Implications for diagnosis and gut-brain axis involvement
Hair metal analysis may help diagnose Parkinson's disease and suggests gut involvement.
research Cell‐free transcriptomic profiles and mechanism insights in female androgenetic alopecia
DNAJB9 cfRNA could help diagnose and treat female hair loss.
research Integrated multiple machine learning and Mendelian randomization reveal LTF gene as a prognostic biomarker for nonspecific orbital inflammation
The LTF gene may help predict and manage nonspecific orbital inflammation.
research Circulating MicroRNA Signatures in Severe Alopecia Areata: Diagnostic Discrimination, Pathway Analysis, and Therapeutic Implications
Specific miRNA profiles can help diagnose and treat alopecia areata.
research Evaluation of NF-κB as a Novel Serum Biomarker in Androgenetic Alopecia Patients: A Case–Control Study
NF-κB levels can help diagnose and assess the severity of androgenetic alopecia.
research Unique Circulating MicroRNA Signatures Distinguish Severe Alopecia Areata from Other Inflammatory Skin Diseases
Unique microRNA patterns can help diagnose and treat severe alopecia areata.
research Transcriptome analysis of frontal fibrosis alopecia revealed involvement of immune cells and ferroptosis
The research suggests that immune cells and a specific type of cell death called ferroptosis are involved in Frontal fibrosis alopecia.
research How Biodegradable Polymers Can be Effective Drug Delivery Systems for Cannabinoids? Prospectives and Challenges
Biodegradable polymers can improve cannabinoid delivery but need more clinical trials.
research Comparison of self-assessed and clinician-assessed hirsutism diagnosed according to the modified Ferriman-Gallwey scale among female outpatients in Brazil
Self-assessed hirsutism scores are not reliable for clinical diagnosis but may help in screening.