research Changes in European Legislation Make it Timely to Introduce a Transparent Market Surveillance System for Cosmetics
Europe needs a clear system to watch over cosmetics for safety and to make sure product claims are true.
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research Boundary Conditions Cause Different Generic Bifurcation Structures in Turing Systems
Boundary conditions change how patterns form in Turing systems.
research A machine learning and network framework to discover new indications for small molecules
A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.
research Shame and diabetes self-management
Feeling shame can make it harder for people with diabetes to take care of their health.
research AnnoPharma: Detection of substances responsible of ADR by annotating and extracting information from MEDLINE abstracts
AnnoPharma effectively identifies substances causing adverse drug reactions in medical abstracts.
research Hair & Scalp Disease Detection Using Machine Learning & Image Processing
AI can accurately diagnose hair and scalp conditions and suggest treatments.
research Early-onset baldness and the risk of aggressive prostate cancer: findings from a case–control study
Men who start balding at age 20 may have a higher chance of getting aggressive prostate cancer.
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 A Combinatorial Tweet Clustering Methodology Utilizing Inter and Intra Cosine Similarity
The method effectively grouped tweets into categories without knowing the number of groups beforehand.
research Biotransformation of Finasteride by Ocimum sanctum L., and tyrosinase inhibitory activity of transformed metabolites: Experimental and computational insights
Fermentation of Finasteride with Ocimum sanctum L. creates new metabolite that inhibits tyrosinase.
research Pattern formation on regular polygons and circles
Domain shape greatly affects pattern formation.
research Automated Machine Learning Analysis of Patients With Chronic Skin Disease Using a Medical Smartphone App: Retrospective Study
Machine learning can predict symptoms and quality of life in chronic skin disease patients using smartphone app data, and shows that app use varies with patient characteristics.
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 Herb lotions to regrow hair in patients with intractable alopecia areata
Herbal lotions are effective for severe hair loss, with a 64.8% success rate, but relapse is common and long-term management requires allergen control and possible corticosteroid use.
research Deep phenotyping of skin tissue remodeling in patients with systemic sclerosis treated with CD19-CAR T cells
CD19-CAR T cell therapy may help regenerate skin in systemic sclerosis.
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 Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey
Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.
research The Dark Side of the Language: Syntax-Based Neural Networks Rivaling Transformers in Definitely Unseen Sentences
Syntax-based neural networks can match Transformers in handling unseen sentences.
research Is Three-Dimensional Virtual Planning in Cranial Reconstruction for Advanced Cutaneous Squamous Cell Carcinoma of the Skull a Feasible Option?
3D virtual planning can help in precise skull reconstruction for advanced skin cancer, but patient-specific factors must be considered.
research PROMETHEUS: Automating Deep Causal Research Integrating Text, Data and Models
PROMETHEUS helps organize and evaluate causal claims from large language models.
research Novel associations of VPS13C with phenotype and conversion of idiopathic REM sleep behavior disorder
VPS13C variants are linked to more severe REM sleep disorder and faster progression to Parkinson's disease.
research Secondary Neoplasm Arising in Nevus Sebaceus of Jadassohn: A Case Report Emphasizing Early Recognition and Evaluation
Early recognition and evaluation of nevus sebaceus are crucial to detect and manage potential cancerous changes.
research Amelioration of psoriasis-like skin lesions by human amniotic mesenchymal stem cells: insights from multiomics profiling in mice
Human amniotic stem cells can safely treat psoriasis-like skin in mice.
research Pharmacologically altered Androgens, Brain Activation and Response Inhibition in a Stop-Signal Task in Male Heavy Drinkers
Lower DHT and higher testosterone levels increase brain activation but don't change behavior in heavy drinkers.
research Predicting Polycystic Ovary Syndrome among Reproductive-Aged Women in Bangladesh Using Machine Learning Algorithms: Development of a Hospital-Based Predictive Model
Machine learning can accurately predict Polycystic Ovary Syndrome in women using clinical features.
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 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 Observations of root hair patterning in soils: Insights from synchrotron-based X-ray computed microtomography
Root hairs in maize grow mainly in air-filled pores, limiting their role in nutrient uptake and plant anchorage.
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 Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture
The system can accurately classify hair diseases with 94.5% accuracy using a CNN.