Marios G. Krokidis

According to our database1, Marios G. Krokidis authored at least 11 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Computational analysis of transcriptome data and mapping of functional networks in Parkinson's disease.
Frontiers Bioinform., 2025

Uncovering Molecular Insights into Blood-Brain Barrier Dysfunction in Alzheimer's Disease.
Proceedings of the 25th IEEE International Conference on Bioinformatics and Bioengineering, 2025

SwarmICB: A Multi-Agent AI System for Immune Checkpoint Blockage Literature Mining and Research Synthesis and Analysis.
Proceedings of the 25th IEEE International Conference on Bioinformatics and Bioengineering, 2025

2024
Computational Analysis of Marker Genes in Alzheimer's Disease across Multiple Brain Regions.
Inf., September, 2024

2023
Revolutionizing the Early Detection of Alzheimer's Disease through Non-Invasive Biomarkers: The Role of Artificial Intelligence and Deep Learning.
Sensors, 2023

Challenges and limitations in computational prediction of protein misfolding in neurodegenerative diseases.
Frontiers Comput. Neurosci., 2023

Applying SCALEX scRNA-Seq Data Integration for Precise Alzheimer's Disease Biomarker Discovery.
Proceedings of the Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops, 2023

Advanced Big Data Analysis for Deciphering the Role of Protein Misfolding and Interactions in the Pathogenesis of Alzheimer's Disease.
Proceedings of the IEEE International Conference on Big Data, 2023

A Graph-Based Approach to Integrate Large-Scale Drug and Protein Data for Alzheimer's Disease Drug Repurposing.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
A Sensor-Based Perspective in Early-Stage Parkinson's Disease: Current State and the Need for Machine Learning Processes.
Sensors, 2022

2021
Recent Dimensionality Reduction Techniques for Visualizing High-Dimensional Parkinson's Disease Omics Data.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021


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