Athanasios Angelakis
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View article: Extracellular vesicles as biomarkers for metabolic dysfunction-associated steatotic liver disease staging using explainable artificial intelligence
Extracellular vesicles as biomarkers for metabolic dysfunction-associated steatotic liver disease staging using explainable artificial intelligence Open
BACKGROUND Metabolic dysfunction-associated steatotic liver disease (MASLD) is a leading cause of chronic liver disease globally. Current diagnostic methods, such as liver biopsies, are invasive and have limitations, highlighting the need …
View article: Effect of Daily Vitamin C Supplementation with or Without Flavonoids on Periodontal, Microbial, and Systemic Conditions Before and After Periodontal Therapy: A Case Series from an RCT
Effect of Daily Vitamin C Supplementation with or Without Flavonoids on Periodontal, Microbial, and Systemic Conditions Before and After Periodontal Therapy: A Case Series from an RCT Open
Purpose: To investigate the effect of vitamin C supplementation with or without flavonoids on periodontal conditions, and microbial and systemic variables before and after non-surgical periodontal treatment (NSPT). Materials and Methods: A…
View article: Extracellular Vesicles as Biomarkers for Steatosis Stages in MASLD Patients: an Algorithmic Approach Using Explainable Artificial Intelligence
Extracellular Vesicles as Biomarkers for Steatosis Stages in MASLD Patients: an Algorithmic Approach Using Explainable Artificial Intelligence Open
Background & Aims Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as NAFLD, is a leading cause of chronic liver disease worldwide. Current diagnostic methods, including liver biopsies, are invasive and have…
View article: The Prevalence of Comorbidities in Individuals with Periodontitis in a Private Periodontal Referral Practice
The Prevalence of Comorbidities in Individuals with Periodontitis in a Private Periodontal Referral Practice Open
Objectives: Periodontitis (PD) patients frequently suffer from comorbidities, necessitating increased attention to disease management and monitoring. The aim of this study is to describe the prevalence and patterns of comorbidities among p…
View article: Extracellular Vesicles as Biomarkers for Steatosis Stages in MASLD Patients: an Algorithmic Approach Using Explainable Artificial Intelligence
Extracellular Vesicles as Biomarkers for Steatosis Stages in MASLD Patients: an Algorithmic Approach Using Explainable Artificial Intelligence Open
Background & Aims Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as NAFLD, is a leading cause of chronic liver disease worldwide. Current diagnostic methods, including liver biopsies, are invasive and have…
View article: A data-centric approach to class-specific bias in image data augmentation
A data-centric approach to class-specific bias in image data augmentation Open
Data augmentation (DA) enhances model generalization in computer vision but may introduce biases, impacting class accuracy unevenly. Our study extends this inquiry, examining DA's class-specific bias across various datasets, including thos…
View article: Towards the Gene Profile of Acute Myeloid Leukaemia Using Machine Learning and Blood Transcriptomics
Towards the Gene Profile of Acute Myeloid Leukaemia Using Machine Learning and Blood Transcriptomics Open
Applying the iterative methodology for dimensionality reduction/feature selection using categorical gradient boosted trees, as it has been defined in and has been successfully applied on similar datasets in and , on a dataset consisted of …
View article: Diagnosis of acute myeloid leukaemia on microarray gene expression data using categorical gradient boosted trees
Diagnosis of acute myeloid leukaemia on microarray gene expression data using categorical gradient boosted trees Open
We define an iterative method for dimensionality reduction using categorical gradient boosted trees and Shapley values and created four machine learning models which potentially could be used as diagnostic tests for acute myeloid leukaemia…
View article: Uncovering the Gene Profile of Acute Myeloid LeukaemiaUsing Gradient Boosted Trees
Uncovering the Gene Profile of Acute Myeloid LeukaemiaUsing Gradient Boosted Trees Open
Applying the iterative methodology for dimensionality reduction using categorical gradient boosted trees, as it has been defined in [9], on a dataset consisted of 12708 genes expressions coming from 5052 individuals from 105 studies, we cl…
View article: Adelic point groups of elliptic curves
Adelic point groups of elliptic curves Open
We show that for an elliptic curve E defined over a number field K, the group E(A) of points of E over the adele ring A of K is a topological group that can be analyzed in terms of the Galois representation associated to the torsion points…