A5060166031- Health Systems, Economic Evaluations, Quality of Life
- Patient Safety and Medication Errors
- Cancer survivorship and care
- Healthcare Quality and Management
- Innovations in Medical Education
- Telemedicine and Telehealth Implementation
- Mental Health Research Topics
- Intelligent Tutoring Systems and Adaptive Learning
- AI in cancer detection
- Online and Blended Learning
- Patient-Provider Communication in Healthcare
- Health Sciences Research and Education
- Liver Disease Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- Artificial Intelligence in Healthcare
- Palliative Care and End-of-Life Issues
- Clinical Reasoning and Diagnostic Skills
- Pharmaceutical Practices and Patient Outcomes
- Frailty in Older Adults
- Health Literacy and Information Accessibility
- Electronic Health Records Systems
- Mental Health via Writing
- Pancreatic function and diabetes
- COVID-19 and healthcare impacts
- Bayesian Modeling and Causal Inference
Aristotle University of Thessaloniki
2021-2024
University College London
2021
University of Surrey
2016-2021
Imperial College London
2014-2017
Primary Health Care
2016
Radboud University Nijmegen
2015
University of Patras
2006-2015
Abstract Oncology patients undergoing cancer treatment experience an average of fifteen unrelieved symptoms that are highly variable in both their severity and distress. Recent advances Network Analysis (NA) provide a novel approach to gain insights into the complex nature co-occurring symptom clusters identify core symptoms. We present findings from first study used NA examine relationships among 38 common large sample oncology chemotherapy. Using two different models Pairwise Markov Random...
Abstract Purpose Artificial intelligence (AI) in the form of automated machine learning (AutoML) offers a new potential breakthrough to overcome barrier entry for non-technically trained physicians. A Clinical Decision Support System (CDSS) screening purposes using AutoML could be beneficial ease clinical burden radiological workflow paranasal sinus diseases. Methods The main target this work was usage evaluation model performance and feasibility Vertex AI image classification on Google...
Delayed diagnosis in primary care is a common, harmful and costly patient safety incident. Its measurement monitoring are underdeveloped underutilised. We created implemented novel approach to identify problems leading solutions for delayed care. developed priority-setting method called PRIORITIZE. invited more than 500 NW London clinicians via an open-ended questionnaire three main relating 113 submitted their suggestions which were thematically grouped synthesized into composite list of 33...
Medication error is a frequent, harmful and costly patient safety incident. Research to date has mostly focused on medication errors in hospitals. In this study, we aimed identify the main causes of, solutions to, primary care. We used novel priority-setting method for identifying ranking problems called PRIORITIZE. invited 500 North West London care clinicians complete an open-ended questionnaire three relating 113 submitted responses, which thematically synthesized into composite list of...
Effective symptom management is a critical component of cancer treatment. Computational tools that predict the course and severity these symptoms have potential to assist oncology clinicians personalize patient's treatment regimen more efficiently provide aggressive timely interventions. Three common inter-related in patients are depression, anxiety, sleep disturbance. In this paper, we elaborate on efficiency Support Vector Regression (SVR) Non-linear Canonical Correlation Analysis by...
Preventing delayed diagnosis of cancer: clinicians' views on main problems and solutionsBackground Delayed is a major contributing factor to the UK' s lower cancer survival compared many European countries.In UK, there significant national variation in early diagnosis.Healthcare providers can offer an insight into local priorities for timely diagnosis.In this study, we aimed identify solutions relating delay according care clinicians. MethodsWe developed implemented new priority-setting...
LifeChamps is an EU Horizon 2020 project that aims to create a digital platform enable monitoring of health-related quality life and frailty in patients with cancer over the age 65. Our primary objective assess feasibility, usability, acceptability, fidelity, adherence, safety parameters when implementing routine care. Secondary objectives involve evaluating preliminary signals efficacy cost-effectiveness indicators.
Scavenger receptor class B type I (SR-BI) is primarily responsible for the selective uptake of cholesteryl esters (CE) high-density lipoprotein (HDL) by liver and other tissues. In present study, we show that SR-BI-deficient (scarb1(-/-)) mice are resistant to diet-induced obesity, hepatic lipid deposition, glucose intolerance after 24 weeks being fed a western-type diet. No differences in energy expenditure or mitochondrial function could account observed phenotype. Kinetic gene expression...
This study is to evaluate healthcare needs, preferences, and expectations in supportive cancer care as perceived by survivors, family caregivers, professionals. Key stakeholders consisted of survivors diagnosed with breast cancer, prostate or melanoma; adult caregivers; professionals involved oncology. Recruitment was via several routes, data were collected either online surveys telephone interviews Greece, Spain, Sweden, the UK. Framework analysis applied dataset. One hundred fifty-five...
Dementia care is predominantly provided by carers in home settings. We aimed to identify the priorities for homecare safety of people with dementia according health and social professionals using a novel priority-setting method. The project steering group determined scope, context criteria prioritization. then invited 185 North-West London clinicians via an open-ended questionnaire three main problems solutions relating dementia. 76 submitted their suggestions which were thematically...
Symptom Cluster Research is a major topic in Cancer Science. In spite of the several statistical and clinical approaches this domain, there not consensus on which method performs better. Identifying generally accepted analytical important order to be able utilize process all available data. paper we report secondary analysis cancer symptom data, comparing performance five Machine Learning (ML) clustering algorithms doing so. Based how well they separate specific subsets measurements select...
The emergency presented through the COVID-19 pandemic exposed need to adopt remote, technology-driven solutions and make healthcare services more resilient. To do so, we technological applications (i.e., telemedicine) that are designed tailored end-users chronic patients) needs type of service they get cancer care). requirements above especially relevant Greece, being a country with numerous sparsely populated regions (e.g., islands, at borders) deteriorating access for all citizens. Trying...
Prioritizing medication safety in care of people with cancer: clinicians' views on main problems and solutions Background Cancer is liable to errors due the complex nature cancer treatment, common presence comorbidities involvement a number clinicians care.While frequency has been reported, little known about their causal factors effective prevention strategies.With unique insight into issues frontline staff can help close this gap.In study, we aimed identify priorities patient according...
Within the most recent years, of cancer patients are older age, which implies necessity to a better understanding aging and connection. This work presents LifeChamps solution built on top cutting-edge Big Data architecture HPC infrastructure concepts. An innovative was envisioned supported by Value Reference Model answering system requirements from high low level logical physical perspective, following "4+1 architectural model".
In this paper, we present EX-COFALE, an extension to existing open-source, Web-based adaptive e-learning system, namely COFALE. COFALE, although offers facilities for content presentation, use of pedagogical devices and communication, it lacks student assessment. EX-COFALE remedies deficiency COFALE by allowing automated test creation assessment based on the students' knowledge information. To end, has been modified allow representation associations between questions learning concepts. Also,...
In this paper, we present the initial evaluation of EX-COFALE, an extension to existing open-source, web-based adaptive e-learning system, namely COFALE developed and used for education on radiation protection in our nursing department. COFALE, although offers facilities content presentation, use pedagogical devices communication, it lacks student assessment. EX-COFALE remedies deficiency by allowing automated test creation assessment based students' knowledge information. To technically...