research IMPACT OF BIOMARKER IN PREDICATIVE TO RESPONSE ADJUVANT CHEMOTHERAPY AND OVERALL SURVIVAL IN FEMALES INFECTED WITH BREAST CANCER: A REVIEW ARTICLES
Certain genes can predict how well breast cancer patients respond to chemotherapy.
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30 / 1000+ results research Cutaneous toxicity as a predictive biomarker for clinical outcome in patients receiving anticancer therapy
Skin reactions from cancer treatments might predict how well the treatments work.
research Long-lived proteins and DNA as candidate predictive biomarkers for tissue associated diseases
Long-lived proteins may predict age-related diseases.
research Sex hormone binding globulin - an important biomarker for predicting PCOS risk: A systematic review and meta-analysis
Lower SHBG levels may increase the risk of PCOS.
research A systematic simulation-based meta-analytical framework for prediction of physiological biomarkers in alopecia
The study identified 12 potential biomarkers for hair loss and how they affect hair growth.
research Chemotherapy-Induced Hair Loss: The Use of Biomarkers for Predicting Alopecic Severity and Treatment Efficacy
Scalp cooling to prevent hair loss from chemotherapy works for some but not all, and studying hair damage markers could improve prevention and treatment.
research 0040 Machine learning algorithms as tools for identifying predictive autoantibody biomarkers in pemphigus vulgaris
Machine learning can help identify biomarkers for personalized Pemphigus vulgaris treatment.
research Ischemic modified albumin as a new biomarker in predicting of oxidative stress in alopecia areata
Ischemic modified albumin could be a new indicator of oxidative stress in people with alopecia areata.
research Genetic prediction of male pattern baldness based on large independent datasets
New models predict male pattern baldness better than old ones but still need improvement.
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 Oral minoxidil bio‐activation by hair follicle outer root sheath cell sulfotransferase enzymes predicts clinical efficacy in female pattern hair loss
Minoxidil activation by hair enzymes predicts treatment success for female hair loss.
research Grand challenges in dermatologic drug discovery: four priorities to transform skin disease treatment
Transforming skin disease treatment requires new strategies, better drug models, and patient-focused research.
research Supplementary Figure 2 from Male-Pattern Vertex Baldness Trajectories, Chest Hair Patterns, and Odds of Overall and Aggressive Prostate Cancer
Early baldness and little chest hair may indicate higher prostate cancer risk.
research 0750 Proteomics and transcriptomics profiling define molecular subtypes of advanced cutaneous T cell lymphoma and prognostic biomarkers
Three molecular subtypes of advanced skin T-cell lymphoma were identified, with potential biomarkers for predicting treatment response and disease progression.
research 411 THE POTENTIAL OF CIRCULATING ENDOTHELIAL CELLS AS PROGNOSTIC BIOMARKERS IN PROSTATE CANCER
CEC levels may be a useful marker for predicting prostate cancer progression.
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 The BIOMarkers in Atopic Dermatitis and Psoriasis (BIOMAP) glossary: developing a lingua franca to facilitate data harmonization and cross‐cohort analyses
The BIOMAP glossary standardizes data to improve research on atopic dermatitis and psoriasis.
research Demonstrating the potential of untargeted hair proteomics for personalized biomarkers in stress-associated disorders
Hair proteomics could be a useful, non-invasive tool for identifying stress-related disorders.
research Table 1_Longitudinal clinical course, treatment outcomes, and relapse patterns in alopecia areata: a prospective cohort study.docx
Baseline severity, disease activity, and relapse history are key to predicting response and recurrence in alopecia areata.
research 8280186 Biomarkers for Occupational Hand Eczema: Improving Diagnostic Differentiation
Certain biomarkers can help distinguish between irritant and allergic contact dermatitis.
research AI-driven biomaterial design: an intelligent closed loop from reverse design to biological response
AI improves biomaterial design by making it faster, cheaper, and more effective for personalized medicine.
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 Demonstrating the potential of untargeted hair proteomics for personalized biomarkers in stress-associated disorders
Hair proteomics could be a promising non-invasive way to identify stress-related disorders.
research A perspective on predictive markers of alopecia
Certain immune molecules and stress affect hair loss, and while genes play a role, more research is needed to fully understand and treat it.
research Phenotype-Specific Lifestyle Prediction for PCOS Using Machine Learning Multi-Class Classification and SHAP Explainability
This study addresses the heterogeneity in Polycystic Ovary Syndrome (PCOS) phenotypes by developing a machine learning framework to predict four specific phenotypes using non-invasive lifestyle and symptom data from 267 patients. Utilizing five classifiers—Support Vector Machines, Extreme Gradient Boosting, Random Forest, Logistic Regression, and K-Nearest Neighbours—the models achieved high accuracy (≥ 98%), with XGBoost and Random Forest achieving perfect separation. SHAP analysis identified cycle_length as the most significant predictor across all models, underscoring its clinical relevance as a biomarker for PCOS. The study demonstrates that explainable machine learning can facilitate phenotype-specific lifestyle recommendations, potentially improving PCOS management.
research Novel Synthetic Steroid Derivatives: Target Prediction and Biological Evaluation of Antiandrogenic Activity
New steroid compounds may help with hormonal therapy and have potential benefits for glucose disorders, but more research is needed.
research GBP1 as a machine learning-prioritized biomarker and therapeutic target for epstein-barr virus-induced clear cell renal cell carcinoma: multi-omics causal validation
GBP1 is a key target for treating Epstein-Barr virus-related kidney cancer, and finasteride may help.
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 Abstract 2205: KRTAP 2-3 is a novel potential biomarker of cells in the polyaneuploid cancer cell (PACC) state to predict cancer recurrence
KRTAP2-3 could help predict cancer recurrence by identifying specific cancer cells.
research lncRNAs UC.145 and PRKG1-AS1 Determine the Functional Output of DKK1 in Regulating the Wnt Signaling Pathway in Gastric Cancer
UC.145 may be a new biomarker for predicting gastric cancer.