research Trend and Co-occurrence Network of COVID-19 Symptoms From Large-Scale Social Media Data: Infoveillance Study
Social media data can help track COVID-19 symptoms and predict the pandemic's status.
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research Cutaneous Manifestations in Patients With COVID-19 Treated at a University Hospital in Southern Brazil
Some COVID-19 patients have skin issues, with men, ICU patients, and those on multiple antibiotics at higher death risk; in-person skin checks by dermatologists are more effective.
research Association between angiotensin‐converting enzyme gene insertion deletion polymorphism and androgenetic alopecia susceptibility among Egyptian patients: A preliminary case‐controlled study
Certain gene variations may increase the risk of hair loss in Egyptians.
research Diabetes mellitus and necrotizing fasciitis – a deadly combination; case report
Diabetes and necrotizing fasciitis together can be deadly.
research YKL-40 a sensitive biomarker for early androgenetic alopecia and early hidden metabolic syndrome
High YKL-40 levels predict early hair loss and hidden metabolic issues.
research Aging Skin: A Window to the Body
Skin aging reflects overall body aging and can indicate internal health conditions.
research Modeling share dynamics by extracting competition structure
The model can predict website market shares by identifying competition among them.
research Electron beam tomography quantitation of coronary calcium and assessment for ischemic coronary disease: a complement to stress testing
Electron Beam Tomography (EBT) is a useful additional test to stress testing for detecting heart disease.
research Advancements in Drug Repurposing: Examples in Psychiatric Medications
Old psychiatric drugs are increasingly being used for new purposes, and technologies like SmartCube® help create new drugs.
research Application and Challenges of Chimeric Antigen Receptor T Cell Therapy in Systemic Rheumatic Diseases and Autoimmune Disorders
CAR-T cell therapy shows promise for treating autoimmune disorders but faces challenges like complex manufacturing and limited tissue penetration.
research Radiotherapy-Induced Skin Fibrosis: Pathophysiology, Emerging Therapeutics, and the Role of Dermatology
Radiotherapy can cause skin fibrosis, which is often overlooked and needs better treatment and evaluation.
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 A State-of-the-Art Overview on (Epi)Genomics and Personalized Skin Rejuvenating Strategies
Personalized skin rejuvenation using genomics shows promise but needs more research.
research Two-Stage Machine Learning-Based GWAS for Wool Traits in Central Anatolian Merino Sheep
Machine learning can effectively identify genes to improve wool quality in sheep.
research Rapid Screening of Anticoagulation Compounds for Biological Target-Associated Adverse Effects Using a Deep-Learning Framework in the Management of Atrial Fibrillation
The framework helps predict adverse effects of blood thinners, improving drug selection for atrial fibrillation.
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 Identification and single-cell analysis of prognostic genes related to mitochondrial and neutrophil extracellular traps in bladder cancer
Six key genes can predict bladder cancer outcomes and may serve as prognostic biomarkers.
research Exploring the Causal Relationship Between Plasma Proteins and Obstructive Sleep Apnea: A Study Using Genome-Wide Mendelian Randomization, Single-Cell RNA Sequencing Analysis, and Network Pharmacology
Certain plasma proteins and genes are linked to obstructive sleep apnea, suggesting potential new treatments.
research Repurposing FDA approved drugs for psoriasis indications through integrated molecular docking, one-SVM algorithm, and molecular dynamics simulation approaches
Pioglitazone, Trimipramine, and Dimetindene may be repurposed to treat psoriasis.
research Penerapan Algoritma Naive Bayes untuk Prediksi Kerontokan Rambut
Naive Bayes algorithm can help predict hair loss risk early.
research Spectrum of Phenotypes Associated with Human MC1R Variations
MC1R gene variations affect skin, hair color, UV sensitivity, and melanoma risk.
research Genotypic and Phenotypic Study of PDCD4 gene Concerning micro RNA-21 and micro RNA-449b Polymorphism in Breast Cancer
PDCD4 protein levels, affected by genetics and breastfeeding, may predict breast cancer treatment response.
research Serum Cystatin C levels in adolescent females: A comparative study between PCOS and Non-PCOS groups
Adolescent females with PCOS have higher serum cystatin C levels, indicating potential metabolic and cardiovascular issues.
research HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
HairLossMultinet accurately classifies hair damage with 98% accuracy but needs a more diverse dataset for broader use.
research Is There an Association Between Male Alopecia Areata and the Ratio of Second to Fourth Finger Length?
A lower second to fourth finger length ratio may predict male alopecia areata.
research Research on the correlation between rash and complement C3, C4 levels and the occurrence and development of lupus nephritis
Absence of skin rash and low complement C3 levels increase the risk of lupus nephritis.
research Androgenetic Alopecia in Men: An Update On Genetics
Androgenetic alopecia in men is genetic and linked to health issues like obesity and heart disease, with treatments including minoxidil, finasteride, and hair transplants.
research Männlicher Haarausfall – was uns unsere Gene verraten
Genetic research may lead to better ways to predict and treat male-pattern hair loss.
research Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
Deep learning and explainable AI are improving scalp disorder diagnosis, but challenges in transparency and data quality remain.
research CZY SZTUCZNA INTELIGENCJA MA I BĘDZIE MIAŁA WPŁYW NA EFEKTYWNIEJSZE LECZENIE W CHIRURGII NACZYNIOWEJ?
AI improves vascular surgery by enhancing diagnostics, planning, and monitoring.