research Exploring machine learning strategies for single-cell transcriptomic analysis in wound healing
Machine learning and single-cell analysis improve understanding and treatment of wound healing.
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30 / 111 resultsresearch A mechanism-informed deep neural network enables prioritization of regulators that drive cell state transitions
A new neural network helps identify key regulators in cell changes, aiding in understanding diseases and finding new treatments.
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 Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
research A Fuzzy Logic-Based Computational Framework for Precision Triage in Androgenetic Alopecia: A Simulated Biomarker-Driven Approach
The TPAP method effectively categorizes androgenetic alopecia patients with high accuracy, but needs real-world validation.
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 PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery
PandaOmics uses AI to find new disease treatment targets and biomarkers.
research Multivariate Profiles of Female Sexual Function: A Cluster Analysis of FSFI Domains in Women with and Without PCOS
Addressing body image and weight can help improve female sexual dysfunction.
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 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 Targeted transgenic expression of the mutation causing Hutchinson-Gilford progeria syndrome leads to proliferative and degenerative epidermal disease
The mutation causing Hutchinson-Gilford progeria syndrome leads to severe skin problems and early death in mice.
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 The Rotterdam Study: 2014 objectives and design update
The Rotterdam Study aims to understand disease causes in the elderly and has found new risk factors and genetic influences on various conditions.
research The Rotterdam Study: 2016 objectives and design update
The Rotterdam Study found risk factors for elderly diseases, links between lifestyle and genetics with health conditions, and aimed to explore new areas like DNA methylation and sensory input effects on brain function.
research Artificial Intelligence in Aesthetic Medicine: Applications, Challenges, and Future Directions
AI improves aesthetic medicine but faces challenges like biases and privacy issues that need addressing for successful integration.
research Radiomics and radiogenomics in ovarian cancer: a review with a focus on ultrasound applications
Ultrasound-based radiomics and radiogenomics can improve ovarian cancer diagnosis and treatment, but need better standardization and AI tools.
research The repression of mètis within digital organizations
Over-reliance on automation limits human problem-solving in emergencies.
research Aproximación a los metanálisis de comparación de múltiples tratamientos: una revisión de la literatura
Multiple treatment comparison meta-analyses help doctors make better decisions by comparing different interventions.
research Smart Diagnostic System for Health Risk Assessment
WomenCare helps predict PCOD risk in women to encourage early medical consultation.
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 Forensic DNA Phenotyping: a review on SNP panels, genotyping techniques, and prediction models
Forensic DNA phenotyping faces challenges due to inconsistent terminology, limited genetic understanding, and debates over technology and models.
research Gli ebrei nelle prime "ordinanze" di castello di cagliari (1347). Nota per una rilettura etnologica
Alopecia can be linked to autoimmune diseases and shows different hair loss patterns.
research scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
scINSIGHT accurately identifies cell clusters and gene patterns in complex data.
research Business Continuity and Risk Mitigation in the Pharmaceutical Industry: Strengthening Supply Chains for Pandemic Preparedness
Pharmaceutical supply chains need stronger strategies and collaboration to ensure continuous medical product supply during pandemics.
research Progress in Topical and Transdermal Drug Delivery Research—Focus on Nanoformulations
Nanoformulations improve drug delivery through the skin, reducing side effects and enhancing effectiveness.
research Data-driven strategies for drug repurposing: insights, recommendations, and case studies
Data-driven methods can effectively identify existing drugs for new uses, especially in cancer, infections, and respiratory diseases.
research Conservation of marine habitats under multiple human uses : Methods, objectives and constraints to optimize a Marine Protected Areas network in the Eastern English Channel
Marxan is better for designing Marine Protected Areas in the Eastern English Channel.
research Integration of Point-of-Care Technology in the Decoding Process of Single Nucleotide Polymorphism for Healthcare Application †
Portable point-of-care testing can improve quick and accurate genetic disorder detection.
research Predicting Physical Appearance from Low Template: State of the Art and Future Perspectives
Machine learning improves DNA predictions for eye and hair color, but challenges remain for skin tone and facial features.
research HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
"HairSentinel" accurately detects hairfall trends using simple user data, helping identify health risks early.