ResearchAI for biosignals & omics

Digitization of Melanoma Management

Bringing imaging, clinical and genomic data together to study melanoma and discover composite biomarkers.

Melanoma care produces data at many levels: dermoscopy and clinical images, patient history, histopathology and genomic profiles. We build integrated platforms and analysis methods that bring these sources together, so that clinicians and researchers can study them side by side.

By combining imaging features with gene-expression and sequencing data, we search for composite biomarkers and robust diagnostic signatures, and we study the mutational landscape of cutaneous melanoma in patients from Greece.

Image, clinical and genomic data fusion
Composite biomarker discovery
Integrated skin-cancer data platforms

Related publications

Selected work from the lab in this area.

2021

An Integrated Platform for Skin Cancer Heterogenous and Multilayered Data Management

Maglogiannis, I., Kontogianni, G., Papadodima, O., Karanikas, H., Billiris, A. and Chatziioannou, A. (2021)

Journal of Medical Systems, 45(1).

DOI

2018

Dissecting the Mutational Landscape of Cutaneous Melanoma: An Omic Analysis Based on Patients from Greece

Kontogianni, G., Piroti, G., Maglogiannis, I., Chatziioannou, A. and Papadodima, O. (2018)

Cancers, 10(4), p. 96.

DOI

2019

Genomics of Cutaneous Melanoma: Focus on Next-Generation Sequencing Approaches and Bioinformatics

Papadodima, O., Kontogianni, G., Piroti, G., Maglogiannis, I. and Chatziioannou, A. (2019)

Journal of Translational Genetics and Genomics, 3, p. 7.

2016

Integrative Bioinformatic Analysis of a Greek Epidemiological Cohort Provides Insight into the Pathogenesis of Primary Cutaneous Melanoma

Kontogianni, G., Papadodima, O., Maglogiannis, I., Frangia-Tsivou, K. and Chatziioannou, A. (2016)

In Artificial Intelligence Applications and Innovations. Springer International Publishing, pp. 39–52.

DOI

2015

Exploring Robust Diagnostic Signatures for Cutaneous Melanoma Utilizing Genetic and Imaging Data

Valavanis, I., Maglogiannis, I. and Chatziioannou, A.A. (2015)

IEEE Journal of Biomedical and Health Informatics, 19(1), pp. 190–198.

DOI

2014

Integration of High-Volume Molecular and Imaging Data for Composite Biomarker Discovery in the Study of Melanoma

Moutselos, K., Maglogiannis, I. and Chatziioannou, A. (2014)

BioMed Research International, 2014, pp. 1–14.

DOI

2013

Inference of a robust diagnostic signature in the case of Melanoma: Gene selection by information gain and Gene Ontology tree exploration

Valavanis, I., Moutselos, K., Maglogiannis, I. and Chatziioannou, A.A. (2013)

In 13th IEEE International Conference on BioInformatics and BioEngineering. IEEE, pp. 1–4.

DOI

2013

Gene Prioritization for Inference of Robust Composite Diagnostic Signatures in the Case of Melanoma

Valavanis, I., Moutselos, K., Maglogiannis, I. and Chatziioannou, A. (2013)

In Artificial Intelligence Applications and Innovations. Springer Berlin Heidelberg, pp. 311–317.

DOI

2012

Heterogeneous data fusion and selection in high-volume molecular and imaging datasets

Moutselos, K., Maglogiannis, I. and Chatziioannou, A. (2012)

In 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE). IEEE, pp. 407–412.

DOI

2012

Feature Selection Study on Separate Multi-modal Datasets: Application on Cutaneous Melanoma

Moutselos, K., Chatziioannou, A. and Maglogiannis, I. (2012)

In Artificial Intelligence Applications and Innovations. Springer Berlin Heidelberg, pp. 36–45.

DOI

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