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プロフィール詳細
Dr. Konstantinos V.に依頼
Greece
Dr Vougas's core expertise spans advanced data analysis and big-data mining as well as bio-statistic & machine learning.
プロフィール概要
専門分野
サービス
Writing
Technical Writing,
Creative Writing,
General Proofreading & Editing,
Translation
Research
Technology Scouting,
Fact Checking,
Systematic Literature Review
Consulting
Business Strategy Consulting,
Go-to-Market Strategy Consulting,
Digital Strategy Consulting,
Scientific and Technical Consulting,
Regulatory Consulting
Data & AI
Predictive Modeling,
Statistical Analysis,
Image Processing,
Image Analysis,
Algorithm Design-Non ML,
Algorithm Design-ML,
Data Visualization,
Big Data Analytics,
Text Mining & Analytics,
Data Mining,
Data Cleaning,
Data Processing,
Data Insights
職務経験
Founder and CEO
DeepPath IKE
11月 2021 - 現在 ![]()
Staff Research Scientist - Associate Professor Level
Biomedical Research Foundation of the Academy of Athens
5月 2015 - 現在 ![]()
Founder and CEO
DeepMed IO Ltd
5月 2017 - 12月 2021 ![]()
External Collaborator - Bioinformatician- Data Analyst
National and Kapodestrian University of Athens - School of Medicine
1月 2009 - 3月 2020
External Collaborator - Biostatistician
Attikon University Hospital, Athens, Greece
1月 2013 - 12月 2015
Research Technician
Biomedical Research Foundation of the Academy of Athens
7月 2003 - 4月 2015 ![]()
External Collaborator - Biostatistical Analysis
Α' University Pulmonary Clinic, Sotiria Hospital, Athens
1月 2011 - 12月 2012
学歴
PhD in Biochemistry (School of Medicine)
National and Kapodistrian University of Athens
9月 1997 - 3月 2005 ![]()
BSc in Molecular Biology (School of Biological Sciences)
University of Portsmouth
9月 1993 - 6月 1996 ![]()
認定資格
- 認定資格の詳細は未入力です。
出版物
PREPRINT
Konstantinos Vougas, Georgios Eleftherios Kalykakis, Isaak Tarampoulous, Konstantinos Gyftodimos, Athanasia Sepsa, Giorgos Agrogiannis, Giannis Vamvakaris, Menelaos G Samaras, Christos Spyropoulos, Chrysostomos Manolis, et al. (2025). Evaluating the performance of LYDIA: an AI-powered assistant in detection of metastatic tumors in lymph nodes .
(2016). Deep Learning and Association Rule Mining for Predicting Drug Response in Cancer. A Personalised Medicine Approach . bioRxiv.
Konstantinos Vougas, Magdalena Krochmal, Thomas Jackson, Alexander Polyzos, Archimides Aggelopoulos, Ioannis S. Pateras, Michael Liontos, Anastasia Varvarigou, Elizabeth O. Johnson, Vassilis Georgoulias, et al. (2016). Deep Learning and Association Rule Mining for Predicting Drug Response in Cancer. A Personalised Medicine Approach .
JOURNAL ARTICLE
Efterpi Bouroutzika (E.B.), Proikakis S, Theodosiadou EK, Vougas K, Angeliki I. Katsafadou, George Th. Tsangaris, Valasi I (2024). Proteomics Analysis of Pregnancy in Ewes under Heat Stress Conditions and Melatonin Administration . Animals : an open access journal from MDPI.
christina triantafyllidou, Effraimidis P, Vougas K, Jonas Agholme, Schimanke M, Cederquist K (2023). The Role of Early Warning Scoring Systems NEWS and MEWS in the Acute Exacerbation of COPD . Clinical medicine insights. Circulatory, respiratory and pulmonary medicine.
Konstantinos Vougas, Eftychia Pappa, Heleni Vastardis, Manousos Makridakis, Jerome Zoidakis, George Stamatakis, Martina Samiotaki, Christos Rahiotis (2022). Analysis of Human and Microbial Salivary Proteomes in Children Offers Insights on the Molecular Pathogenesis of Molar-Incisor Hypomineralization . Biomedicines.
Konstantinos Vougas, EFTYCHIA PAPPA, Heleni Vastardis, Manousos Makridakis, Jerome Zoidakis, George Stamatakis, Martina Samiotaki, Chris Rahiotis (2022). Analysis of Human and Microbial Salivary Proteomes in Children Offers Insights on the Molecular Pathogenesis of Molar-Incisor Hypomineralization . Biomedicines.
Konstantinos Vougas, Spyridon Almpanis, Vassilis Gorgoulis(2020). Deep learning: shaping the medicine of tomorrow . Molecular & Cellular Oncology. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1723462. Informa {UK} Limited
(2019). A Deep Learning Framework for Predicting Response to Therapy in Cancer . Cell Reports.
(2019). Cellular Senescence: Defining a Path Forward . Cell.
(2019). Machine learning and data mining frameworks for predicting drug response in cancer: An overview and a novel in silico screening process based on association rule mining . Pharmacology & therapeutics.
(2016). Determinants of resistance to chemotherapy and ionizing radiation in breast cancer stem cells . Cancer letters.
Konstantinos Vougas, Christina Triantafillidou, Effrosyni Manali, Panagiotis Lyberopoulos, Likourgos Kolilekas, Konstantinos Kagouridis, Sotirios Gyftopoulos, Anastasia Kotanidou, Manos Alchanatis, Anna Karakatsani, et al.(2013). The Role of Cardiopulmonary Exercise Test in IPF Prognosis . Pulmonary Medicine. 2013. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1--9. Hindawi Publishing Corporation
(2009). Down-regulation of microfilamental network-associated proteins in leukocytes of breast cancer patients: potential application to predictive diagnosis. Cancer genomics & proteomics.
ONLINE RESOURCE