A5038008980- Spectroscopy and Chemometric Analyses
- Spectroscopy Techniques in Biomedical and Chemical Research
- Nanoplatforms for cancer theranostics
- Radiation Therapy and Dosimetry
- Head and Neck Cancer Studies
- Optical Imaging and Spectroscopy Techniques
- Oral health in cancer treatment
- Advanced Radiotherapy Techniques
- Brain Tumor Detection and Classification
- Advanced X-ray and CT Imaging
- Nanoparticle-Based Drug Delivery
- Photoacoustic and Ultrasonic Imaging
- COVID-19 diagnosis using AI
- Retinal and Optic Conditions
- Ultrasound and Hyperthermia Applications
- Effects of Radiation Exposure
- Management of metastatic bone disease
- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neural Network Applications
- Cancer Research and Treatment
- Laser-induced spectroscopy and plasma
National and Kapodistrian University of Athens
2022-2025
Hellenic Red Cross
2024
University of Massachusetts Lowell
2022-2023
Democritus University of Thrace
2022-2023
Over the past few years, tremendous research concerning possibilities of gold nanoparticles in medicine has been conducted. Gold (AuNPs) are considered to be unique nanostructures due their extraordinary chemical and physical properties. This review article aims bring into light potential applications for diagnostic purposes ophthalmology. More specifically, attention will drawn utilization AuNPs as contrast agents (CAs) optical coherence tomography (OCT) photoacoustic imaging (PAI), which...
Advanced Raman spectroscopy (RS) systems have gained new interest in the field of medicine as an emerging tool for vivo tissue discrimination. The coupling RS with artificial intelligence (AI) algorithms has given a boost to analyze spectral data real time high specificity and sensitivity. However, limitations are still encountered due large amount clinical which required pre-training process AI algorithms. In this study, human healthy cancerous colon specimens were surgically resected from...
(1) Background: Head and neck cancer treatment, including advanced techniques like Volumetric Modulated Arc Therapy (VMAT), presents challenges for maintaining patient quality of life (QoL). Thus, thoroughly investigating how radiation therapy (RT) affects patients has been proved essential. Derived by that, this study aims to understand the complex interactions between not only RT QoL but also symptom severity, treatment-related toxicities in three distinct time points patient’s treatment;...
Central Nervous System (CNS) tumors represent a significant public health concern due to their high morbidity and mortality rates. Magnetic Resonance Imaging (MRI) has emerged as critical non-invasive modality for the detection, diagnosis, management of brain tumors, offering high-resolution visualization anatomical structures. Recent advancements in deep learning, particularly convolutional neural networks (CNNs), have shown potential augmenting MRI-based diagnostic accuracy tumor...
Cervical cancer remains a pressing global health concern, necessitating advanced therapeutic strategies. Radiotherapy, fundamental treatment modality, has faced challenges such as targeted dose deposition and radiation exposure to healthy tissues, limiting optimal outcomes. To address these hurdles, nanomaterials, specifically gold nanoparticles (AuNPs), have emerged promising avenue. This study delves into the realm of cervical radiotherapy through meticulous exploration AuNPs’ impact....
The multifactorial nature of cancer still classifies the disease as one leading causes death worldwide. Modern medical sciences are following an interdisciplinary approach that has been fueled by nanoscale revolution past years. exploitation high-Z materials, in combination with ionizing or non-ionizing radiation, promises to overcome restrictions imaging and augment efficacy current therapeutic modalities. Gold nanoparticles (AuNPs) have proven their value among scientific community various...
Raman spectroscopy (RS) techniques are attracting attention in the medical field as a promising tool for real-time biochemical analyses. The integration of artificial intelligence (AI) algorithms with RS has greatly enhanced its ability to accurately classify spectral data vivo. This combination opened up new possibilities precise and efficient analysis applications. In this study, healthy cancerous specimens from 22 patients who underwent open colorectal surgery were collected. By using...
Raman spectroscopy has emerged as a powerful tool in medical, biochemical, and biological research with high specificity, sensitivity, spatial temporal resolution. Recent advanced systems, such portable systems fiber-optic probes, provide the potential for accurate vivo discrimination between healthy cancerous tissues. In our study, probe spectrometer was tested immunosuppressed mice localization of colorectal cancer malignancies from normal tissue margins. The acquired spectra were...
Detection and segmentation of brain abnormalities using Magnetic Resonance Imaging (MRI) is an important task that, nowadays, the role AI algorithms as supporting tools well established both at research clinical-production level. While performance state-of-the-art models increasing, reaching radiologists other experts’ accuracy levels in many cases, there still a lot needed on direction in-depth transparent evaluation correct results failures, especially relation to aspects radiological...