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.
Search
for
Sort by
Research
390-420 / 1000+ results 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 An Expert System for Clinical Risk Assessment of Polycystic Ovary Syndrome under Uncertainty
The document concludes that the new expert system can assess the risk of PCOS effectively despite uncertainties in diagnosis.
research A weighted non-negative matrix factorization approach to predict potential associations between drug and disease
WNMFDDA effectively predicts drug-disease associations.
research Analysing the dynamics of a model for alopecia areata as an autoimmune disorder of hair follicle cycling
The model helps understand and improve treatments for alopecia areata by simulating hair growth and immune cell interactions.
research Gene trajectory inference for single-cell data by optimal transport metrics
research Global behavior of solutions in a chemotaxis model for alopecia areata with signal-dependent sensitivity
Sparse hairless patches can develop and stabilize in alopecia areata under certain conditions.
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 Dodatek A: Model matematyczny AL/RC/ASE. Functional Androgen Axis (FOA) - wersja operacyjna v1.2
The model improves understanding of androgen interactions by focusing on signal intensity and system capacity.
research The Follicular Automaton Model: Effect of Stochasticity and of Synchronization of Hair Cycles
The model showed that randomness accurately describes individual hair growth cycles and that synchronization can cause large fluctuations not seen in humans.
research A use-and-transformation model for evaluating public R&D: Illustrations from polycystic ovarian syndrome (PCOS) research
The document suggests a new model for evaluating public research that better captures the full value of knowledge creation and use, using PCOS research as an example.
research Adverse event reporting of four anti-Calcitonin gene-related peptide monoclonal antibodies for migraine prevention: a real-world study based on the FDA adverse event reporting system
These migraine prevention drugs can cause side effects like constipation, hair loss, injection site reactions, fatigue, and sometimes unexpected issues like Raynaud's phenomenon and weight gain.
research LB1053 Dysregulation of antioxidant enzyme PRDX5 in alopecia areata
PRDX5 enzyme may contribute to alopecia areata by affecting oxidative stress and autoimmunity.
research 0348 Adverse event reports of alopecia for sunscreen ingredients and branded products
Some sunscreen ingredients may be linked to hair loss, but more research is needed.
research Assessing the safety of topical minoxidil through disproportionality analysis of FAERS reports
Topical minoxidil may cause more side effects than currently listed, needing updated safety information.
research Multidimensional assessment of adverse events of finasteride:a real-world pharmacovigilance analysis based on FDA Adverse Event Reporting System (FAERS) from 2004 to April 2024
Finasteride has various adverse effects, including sexual dysfunction and mental health issues, which vary by age and gender.
research A Comparative Analysis of Large Language Model Accuracy for Image-Based Hair Disease Identification in Diverse Skin Tones
ChatGPT is more accurate at diagnosing hair disorders in lighter skin tones than darker ones.
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 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 Prediction of Alopecia Areata using CNN
A new CNN model can detect Alopecia Areata with 98% accuracy.
research AI04 A novel machine learning software application for prognosticating cutaneous malignant melanoma based on data from 78 351 patients from the Surveillance, Epidemiology, and End Results (SEER) database
The new AI software predicts melanoma outcomes more accurately than traditional methods.
research Author response: A multi-scale model for hair follicles reveals heterogeneous domains driving rapid spatiotemporal hair growth patterning
Understanding hair follicle interactions can help treat male pattern baldness.
research Androgenetic Alopecia: In Vivo Models
Stump-tailed macaque best for researching hair loss causes and treatments.
research Pharmacophore Models for Toxicology Prediction
Pharmacophore models can predict liver toxicity and central nervous system toxicity, but they have limitations and specific requirements.
research THE ET INTERVIEW: HERMAN BIERENS
Herman Bierens had a successful career in econometrics, contributed to education, and plans to continue research after retirement.
research Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
The model accurately predicts hair loss severity in alopecia areata.
research Author response: Dynamics of nevus development implicate cell cooperation in the growth arrest of transformed melanocytes
Moles may stop growing because of cell cooperation, not just because of aging cells.
research Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
A machine learning model can predict alopecia areata early using specific gene markers.
research Assessment of college students’ mental health status based on temporal perception and hybrid clustering algorithm under the impact of public health events
A new method accurately measures college students' mental health by considering time perception and clustering techniques.
research ANÁLISES COMPUTACIONAIS PREDITIVAS COMO UM NOVO BIOPODER: MODIFICAÇÕES DO TEMPO NA SOCIEDADE DOS SENSORES
Predictive computational analyses have evolved biopower by using technology to track and predict individual and group behaviors.