Search

for
Search:

Sort by

Research

30 / 166 results

research PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis

April 2026 in “International Journal of Engineering Research and Science & Technology”

The study introduces an Explainable Artificial Intelligence (XAI)-based system for diagnosing hair disorders, addressing the limitations of conventional methods that often overlook the complex interplay of factors like genetics and stress. Utilizing the Flask web framework, the system employs various machine learning algorithms and introduces a novel hybrid Probabilistic Ensemble Deep Learning (PEDL) model, which combines a Probabilistic Neural Network with a Sparse Representation Classifier. This model achieves a high accuracy of 0.9950, surpassing traditional approaches. The integration of XAI techniques allows for transparent predictions, identifying key factors, assessing risks, and providing personalized recommendations for hair loss evaluation, treatment, and hormonal impact analysis.

Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network

research Identification of Drug-Disease Associations Using Information of Molecular Structures and Clinical Symptoms via Deep Convolutional Neural Network

18 citations , January 2020 in “Frontiers in Chemistry”

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

April 2026 in “Life”

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

61 citations , June 2022 in “IEEE Journal of Biomedical and Health Informatics”

The new method improves skin cancer detection in imbalanced datasets.

research SNP variation in male pattern hair loss in Russians with different dihydrotestosterone levels

3 citations , December 2018 in “Meta Gene”

Certain gene variations increase male hair loss risk, influenced by hormone levels.

research DEEP REINFORCEMENT LEARNING FOR SCALABLE CONTROL OF BOOLEAN MODELS IN THE CONTEXT OF CELLULAR REPROGRAMMING

January 2024 in “Wiadomości Lekarskie”

pbn-STAC effectively finds strategies for cellular reprogramming using deep reinforcement learning.

Synergy of AI and Medicine: Opportunities and Challenges

research SYNERGIA AI I MEDYCYNY: SZANSE I WYZWANIA

January 2024 in “Wiadomości Lekarskie”

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

1 citations , January 2024 in “IEEE access”

The new method improves facial image restoration quality and face recognition accuracy.

research A human prenatal skin cell atlas reveals immune cell regulation of skin morphogenesis

October 2023 in “bioRxiv (Cold Spring Harbor Laboratory)”

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

32 citations , May 2022 in “Frontiers in Pharmacology”

The method effectively predicts new drug uses, including potential COVID-19 treatments.

Phenotypic Heterogeneity in Human Genetic Diseases: Ultrasensitivity-Mediated Threshold Effects as a Unifying Molecular Mechanism

research Phenotypic heterogeneity in human genetic diseases: ultrasensitivity-mediated threshold effects as a unifying molecular mechanism

July 2023 in “Journal of Biomedical Science”

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

January 2024 in “Wiadomości Lekarskie”

National data helps improve palliative care by highlighting and addressing inequalities.

research Modeling share dynamics by extracting competition structure

1 citations , September 2004 in “Physica D: Nonlinear Phenomena”

The model can predict website market shares by identifying competition among them.

research Altered resting-state activity in seasonal affective disorder

31 citations , September 2012 in “Human Brain Mapping”

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

109 citations , January 2011 in “Frontiers in Systems Neuroscience”

Choosing the right model order in brain connectivity analysis can affect the detection of differences between healthy individuals and those with seasonal affective disorder.