research PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis
The new AI system accurately diagnoses hair disorders and offers personalized treatment recommendations.
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research Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network
A new model can predict drug-disease links well, helping drug research.
research Baseline Neutrophil-to-Lymphocyte Ratio Stratifies Early Trichoscopic Response to Platelet-Rich Plasma–Based Regimens in Non-Scarring Alopecia: A Real-World Cohort with Internal Validation Using an Interpretable Neural Network
A high neutrophil-to-lymphocyte ratio may predict poor response to hair loss treatment.
research Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
The new method improves skin cancer detection in imbalanced datasets.
research SNP variation in male pattern hair loss in Russians with different dihydrotestosterone levels
Certain gene variations increase male hair loss risk, influenced by hormone levels.
research CZAS TO SZTUCZNA INTELIGENCJA: OD TEORII DO ROZWIĄZAŃ RATUJĄCYCH ŻYCIE
AI improves medical care by enhancing diagnosis and treatment for better patient outcomes.
research DEEP REINFORCEMENT LEARNING FOR SCALABLE CONTROL OF BOOLEAN MODELS IN THE CONTEXT OF CELLULAR REPROGRAMMING
pbn-STAC effectively finds strategies for cellular reprogramming using deep reinforcement learning.
research SYNERGIA AI I MEDYCYNY: SZANSE I WYZWANIA
AI is transforming healthcare by improving diagnostics and therapy, despite challenges with data and trust.
research An Improved Face Image Restoration Method Based on Denoising Diffusion Probabilistic Models
The new method improves facial image restoration quality and face recognition accuracy.
research ADVANCES IN FUNCTIONAL NEUROSURGERY – MACHINE LEARNING, NEURAL ENGINEERING AND ROBOTICS IN TREATMENT OF NEURODEGENERATIVE DISORDERS
AI and robotics are improving treatment and monitoring of neurodegenerative disorders like Parkinson's.
research A human prenatal skin cell atlas reveals immune cell regulation of skin morphogenesis
Immune cells are essential for early hair and skin development and healing.
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 Phenotypic heterogeneity in human genetic diseases: ultrasensitivity-mediated threshold effects as a unifying molecular mechanism
Different people show different symptoms for genetic diseases because of how sensitive their bodies are to small changes in important factors.
research USING NATIONAL DATA SETS TO INFLUENCE AND SUPPORT NATIONAL HEALTH STRATEGY – WHY SHOULD WE FOCUS ON ADDRESSING INEQUALITIES AND UNWARRANTED VARIATION
National data helps improve palliative care by highlighting and addressing inequalities.
research Modeling share dynamics by extracting competition structure
The model can predict website market shares by identifying competition among them.
research IMPAIRMENT OF AUDITORY FUNCTION IN PERSONS WITH TYPE 2 DIABETES MELLITUS DEPENDING ON THE LEVEL OF PERIPHERAL MYELIN PROTEIN
High PMP 22 levels in type 2 diabetes patients may cause hearing loss.
research ABORTION AROUND THE WORLD- LOOKING FOR THE GOLDEN MEAN
Countries should improve sex education, access to contraception, and legal abortion options.
research Altered resting-state activity in seasonal affective disorder
People with Seasonal Affective Disorder have different brain activity in certain areas when resting.
research Group-ICA Model Order Highlights Patterns of Functional Brain Connectivity
Choosing the right model order in brain connectivity analysis can affect the detection of differences between healthy individuals and those with seasonal affective disorder.
research Uncharted waters
New DNA analysis and machine learning are advancing forensic science, improving accuracy and expanding into non-human applications.
research Trichotillomania: Neurobiology and treatment
Trichotillomania involves hair pulling and can be treated with therapy and medication.
research Real-world pharmacovigilance insights into drug-induced risk of alopecia
64 drugs can cause hair loss, needing better monitoring and updated labels.
research Evaluation of dermatologic adverse events associated with aromatase inhibitors: insights from the FAERS database
Aromatase inhibitors can cause skin issues, especially with anastrozole and exemestane, so monitoring is important.
research THE POTENTIAL OF AI TO ENHANCE MEDICAL EDUCATION: OPPORTUNITIES, CHALLENGES, AND ETHICAL CONSIDERATIONS
AI can greatly improve medical education by personalizing learning and enhancing skills, but challenges like cost, training, and ethics need addressing.
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 TOWARDS NOVEL DIAGNOSTIC MARKER BASED ON BREAST ARTERIAL CALCIFICATIONS
Detecting early breast arterial calcifications can help assess cardiovascular disease risk.
research CECHY KLINICZNE PRZEBIEGU CHORÓB UKŁADU ODDECHOWEGO WYWOŁANYCH PRZEZ SARS-COV-2 U DZIECI Z ZACHODNICH REGIONÓW BIAŁORUSI
Urban children in western Belarus had more severe COVID-19 cases in 2021.
research A NEW GENERATION OF MARKERS FOR CANCER DETECTION AND DRUG TRANSPORT
New markers can detect tumors, aid drug delivery, and treat cancer effectively and safely.
research HOW AI CAN SUPPORT FOLLICULAR LYMPHOMA DIAGNOSIS
AI can help diagnose Follicular Lymphoma by accurately identifying specific cell types.
research POINT OF CARE W RADIOLOGII
Point of Care in radiology speeds up diagnosis and treatment by performing tests where the patient is.