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Hire Dr. Konstantinos V.

Greece

USD 40 /hr

Dr Vougas's core expertise spans advanced data analysis and big-data mining as well as bio-statistic & machine learning.

Profile Summary

Dr. Konstantinos Vougas holds a Molecular Biology degree from the University of Portsmouth, UK and a Ph.D. from the Medical School of the University of Athens. He has been a Staff Research Scientist (Associate Professor Level) of the Proteomics Core Facility of the Biomedical Research Foundation of the Academy of Athens since 2015. Dr. Vougas is actively involved in big-data mining and artificial intelligence research. In 2010 he won the international Innocentive crowd-sourcing competition entitled “Predictive Data Analysis” where his solution delivered the best predictive model among 1200 submitted solutions on a challenge to integrate and use gene expression levels and mutation status to predict phenotypic traits. In 2017 he founded DeepMed IO and in 2021 DeepPath, where he currently oversees the development of AI-powered solutions for computer-aided diagnosis in histopathology. He has been a guest speaker at many Greek and International conferences. He is also a reviewer in many scientific journals. His published work, consisting of 66 publications in international journals, has received 6,096 citations (h-index: 36; i10-index: 53).

Subject Matter Expertise

• ☆ Biostatistics
• ☆ Information Technology
• ☆ Database Management
• ☆ Data Analysis
• ☆ Machine Learning
• ☆ Statistics
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Nonlinear Regression
• ☆ Correlation Analysis
• ☆ Study Design
• ☆ Statistical Review
• ☆ Medical Statistics
• ☆ Health Data Analysis
• ☆ Python
• ☆ SQL
• ☆ R

Services

• Writing
• Research
• Consulting
• Data & AI

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

Work Experience

Founder and CEO

DeepPath IKE

November 2021 - Present

Staff Research Scientist - Associate Professor Level

Biomedical Research Foundation of the Academy of Athens

May 2015 - Present

Founder and CEO

DeepMed IO Ltd

May 2017 - December 2021

External Collaborator - Bioinformatician- Data Analyst

National and Kapodestrian University of Athens - School of Medicine

January 2009 - March 2020

External Collaborator - Biostatistician

Attikon University Hospital, Athens, Greece

January 2013 - December 2015

Research Technician

Biomedical Research Foundation of the Academy of Athens

July 2003 - April 2015

External Collaborator - Biostatistical Analysis

Α' University Pulmonary Clinic, Sotiria Hospital, Athens

January 2011 - December 2012

Education

PhD in Biochemistry (School of Medicine)

National and Kapodistrian University of Athens

September 1997 - March 2005

BSc in Molecular Biology (School of Biological Sciences)

University of Portsmouth

September 1993 - June 1996

Certifications

• Certification details not provided.

Publications

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. p. 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.

Pavlopoulou A, Oktay Y, Vougas K, Louka M, Vorgias CE, Georgakilas AG, Cancer letters, 2016, vol. 380, no. 2, pp. 485-493, 2016 .

Galanos P, Vougas K, Walter D, Polyzos A, Maya-Mendoza A, Haagensen EJ, Kokkalis A, Roumelioti FM, Gagos S, Tzetis M, Canovas B, Igea A, Ahuja AK, Zellweger R, Havaki S, Kanavakis E, Kletsas D, Roninson IB, Garbis SD, Lopes M, Nature cell biology, 2016, vol. 18, no. 7, pp. 777-789, 2016 .

Petrakis TG, Komseli ES, Papaioannou M, Vougas K, Polyzos A, Myrianthopoulos V, Mikros E, Trougakos IP, Thanos D, Branzei D, Townsend P, Gorgoulis VG, Seminars in cancer biology, 2016, vol. 37-38, pp. 3-15, 2016 .

Nikitaki Z, Mavragani IV, Laskaratou DA, Gika V, Moskvin VP, Theofilatos K, Vougas K, Stewart RD, Georgakilas AG, Seminars in cancer biology, 2016, vol. 37-38, pp. 77-95, 2016 .

Pateras IS, Havaki S, Nikitopoulou X, Vougas K, Townsend PA, Panayiotidis MI, Georgakilas AG, Gorgoulis VG, Pharmacology & therapeutics, 2015, vol. 154, pp. 36-56, 2015 .

Latosinska A, Vougas K, Makridakis M, Klein J, Mullen W, Abbas M, Stravodimos K, Katafigiotis I, Merseburger AS, Zoidakis J, Mischak H, Vlahou A, Jankowski V, PloS one, 2015, vol. 10, no. 9, pp. e0137048, 2015 .

Kotsinas A, Sigala F, Garbis SD, Galyfos G, Filis K, Vougas K, Papalampros A, Johnson EE, Chronopoulos E, Georgakilas AG, Gorgoulis VG, Current medicinal chemistry, 2015, vol. 22, no. 22, pp. 2666-2679, 2015 .

Filip S, Vougas K, Zoidakis J, Latosinska A, Mullen W, Spasovski G, Mischak H, Vlahou A, Jankowski J, PloS one, 2015, vol. 10, no. 7, pp. e0133773, 2015 .

Cholidou KG, Manali ED, Kapsimalis F, Kostakis ID, Vougas K, Simoes D, Markozannes E, Vogiatzis I, Bakakos P, Koulouris N, Alchanatis M, Clinical research in cardiology : official journal of the German Cardiac Society, 2014, vol. 103, no. 10, pp. 805-815, 2014 .

Balfoussia E, Skenderi K, Tsironi M, Anagnostopoulos AK, Parthimos N, Vougas K, Papassotiriou I, Tsangaris GT, Chrousos GP, Journal of proteomics, 2014, vol. 98, pp. 1-14, 2014 .

Diamanti C, Manali E, Ginieri-Coccossis M, Vougas K, Cholidou K, Markozannes E, Bakakos P, Liappas I, Alchanatis M, Sleep & breathing = Schlaf & Atmung, 2013, vol. 17, no. 4, pp. 1159-1168, 2013 .

Velimezi G, Liontos M, Vougas K, Roumeliotis T, Bartkova J, Sideridou M, Dereli-Oz A, Kocylowski M, Pateras IS, Evangelou K, Kotsinas A, Orsolic I, Bursac S, Cokaric-Brdovcak M, Zoumpourlis V, Kletsas D, Papafotiou G, Klinakis A, Volarevic S, Gu W, Nature cell biology, 2013, vol. 15, no. 8, pp. 967-977, 2013 .

Papanikolaou E, Kontostathi G, Drakopoulou E, Georgomanoli M, Stamateris E, Vougas K, Vlahou A, Maloy A, Ware M, Anagnou NP, Virus research, 2013, vol. 175, no. 1, pp. 1-11, 2013 .

Kolilekas L, Manali E, Vlami KA, Lyberopoulos P, Triantafillidou C, Kagouridis K, Baou K, Gyftopoulos S, Vougas KN, Karakatsani A, Alchanatis M, Papiris S, Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2013, vol. 9, no. 6, pp. 593-601, 2013 .

Cholidou KG, Kostakis ID, Manali ED, Perrea D, Margeli A, Vougas K, Markozannes E, Koulouris N, Alchanatis M, Cytokine, 2013, vol. 61, no. 3, pp. 917-923, 2013 .

Braoudaki M, Lambrou GI, Vougas K, Karamolegou K, Tsangaris GT, Tzortzatou-Stathopoulou F, Journal of hematology & oncology, 2013, vol. 6, pp. 52, 2013 .

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. p. 1--9. Hindawi Publishing Corporation

Fragopoulou AF, Samara A, Antonelou MH, Xanthopoulou A, Papadopoulou A, Vougas K, Koutsogiannopoulou E, Anastasiadou E, Stravopodis DJ, Tsangaris GT, Margaritis LH, Electromagnetic biology and medicine, 2012, vol. 31, no. 4, pp. 250-274, 2012 .

Petrakis TG, Vougas K, Gorgoulis VG, Transcription, 2012, vol. 3, no. 3, pp. 124-129, 2012 .

Raftogianni A, Stamatakis A, Papadopoulou A, Vougas K, Anagnostopoulos AK, Stylianopoulou F, Tsangaris GT, PloS one, 2012, vol. 7, no. 10, pp. e48337, 2012 .

Anagnostopoulos AK, Dimas KS, Papathanassiou C, Braoudaki M, Anastasiadou E, Vougas K, Karamolegou K, Kontos H, Prodromou N, Tzortzatou-Stathopoulou F, Tsangaris GT, Journal of proteome research, 2011, vol. 10, no. 5, pp. 2555-2565, 2011 .

Braoudaki M, Tzortzatou-Stathopoulou F, Anagnostopoulos AK, Papathanassiou C, Vougas K, Karamolegou K, Tsangaris GT, Amino acids, 2011, vol. 40, no. 3, pp. 943-951, 2011 .

Samara A, Vougas K, Papadopoulou A, Anastasiadou E, Baloyanni N, Paronis E, Chrousos GP, Tsangaris GT, Hippocampus, 2011, vol. 21, no. 1, pp. 108-119, 2011 .

Kolialexi A, Anagnostopoulos AK, Papantoniou N, Vougas K, Antsaklis A, Fountoulakis M, Mavrou A, Tsangaris GT, Journal of proteome research, 2010, vol. 9, no. 10, pp. 5164-5170, 2010 .

Xanthopoulou AG, Anagnostopoulos D, Vougas K, Anagnostopoulos AK, Alexandridou A, Spyrou G, Siafaka-Kapadai A, Tsangaris GT, In vivo (Athens, Greece), 2010, vol. 24, no. 4, pp. 443-456, 2010 .

(2009). Down-regulation of microfilamental network-associated proteins in leukocytes of breast cancer patients: potential application to predictive diagnosis. Cancer genomics & proteomics.

ONLINE RESOURCE

(2019). Breast Cancer pN Staging with Deep Learning .