Diego Galeano, Ph.D.

I am a Machine Learning Researcher at the Faculty of Engineering, National University of Asunción, Paraguay. I am also a consultant for the biotech/pharma industry in the U.S.

I develop machine learning models for applications in drug discovery and medicine.

Recent news
2023
Core mitochondrial genes are down-regulated during SARS-CoV-2 infection of rodent and human hosts
Joseph W Guarnieri, Joseph M Dybas, Hossein Fazelinia, Man S Kim, Justin Frere, Yuanchao Zhang, Yentli Soto Albrecht, Deborah G Murdock, Alessia Angelin, Larry N Singh, Scott L Weiss, Sonja M Best, Marie T Lott, Shiping Zhang, Henry Cope, Victoria Zaksas, Amanda Saravia-Butler, Cem Meydan, Jonathan Foox, Christopher Mozsary, Yaron Bram, Yared Kidane, Waldemar Priebe, Mark R Emmett, Robert Meller, Sam Demharter, Valdemar Stentoft-Hansen, Marco Salvatore, Diego Galeano, Francisco J Enguita, Peter Grabham, Nidia S Trovao, Urminder Singh, Jeffrey Haltom, Mark T Heise, Nathaniel J Moorman, Victoria K Baxter, Emily A Madden, Sharon A Taft-Benz, Elizabeth J Anderson, Wes A Sanders, Rebekah J Dickmander, Stephen B Baylin, Eve Syrkin Wurtele, Pedro M Moraes-Vieira, Deanne Taylor, Christopher E Mason, Jonathan C Schisler, Robert E Schwartz, Afshin Beheshti, Douglas C Wallace
Science Translational Medicine 2023.
2022
Machine learning prediction of side effects for drugs in clinical trials
Diego Galeano, Alberto Paccanaro
Cell Reports Methods 2022
The interplay between lncRNAs, RNA-binding proteins and viral genome during SARS-CoV-2 infection reveals strong connections with regulatory events involved in RNA metabolism and immune response
Francisco J Enguita, Ana Lúcia Leitão, J Tyson McDonald, Viktorija Zaksas, Saswati Das, Diego Galeano, Deanne Taylor, Eve Syrkin Wurtele, Amanda Saravia-Butler, Stephen B Baylin, Robert Meller, D Marshall Porterfield, Douglas C Wallace, Jonathan C Schisler, Christopher E Mason, Afshin Beheshti
Theranostics 2022.
Machine learning and network medicine approaches for drug repositioning for COVID-19
Suzana de Siqueira Santos, Mateo Torres, Diego Galeano, María del Mar Sánchez, Luca Cernuzzi, Alberto Paccanaro
Cell Patterns 2022.
2021
A Recommender System Approach for Predicting Effective Antivirals
Rafael Adorno, Diego Galeano, DH Stalder, Luca Cernuzzi, Alberto Paccanaro
2021 XLVII Latin American Computing Conference (CLEI), IEEE 2021.
Role of miR-2392 in driving SARS-CoV-2 infection
JT McDonald, FJ Enguita, ..., Diego Galeano, Alberto Paccanaro, ... and Afshin Beheshti, UNC COVID-19 Pathobiology Consortium
Cell Reports 2021
The Great Deceiver: miR-2392’s Hidden Role in Driving SARS-CoV-2 Infection
JT McDonald, FJ Enguita, ..., Diego Galeano, Alberto Paccanaro, ... and Afshin Beheshti, UNC COVID-19 Pathobiology Consortium
bioRxiv 2021.
Interpretable Drug Target Predictions using Self-Expressiveness
Diego Galeano, Santiago Noto, Ruben Jimenez and Alberto Paccanaro
bioRxiv 2021.
2020
Predicting the Frequencies of Drug Side Effects
Diego Galeano, Shantao Li, Mark Gerstein and Alberto Paccanaro
Nature Communications 2020.
2019
Predicting the Frequencies of Drug Side Effects
Diego Galeano, and Alberto Paccanaro
Preprint 2019.
(bioarxiv)
Learning Interpretable Disease Self-Representations for Drug Repositioning
(co-first author*) Fabrizio Frasca*, Diego Galeano, Guadalupe Gonzalez, Ivan Laponogov, Kirill Veselkov, Alberto Paccanaro, Michael M Bronstein
NeurIPS Graph Representation Learning Workshop. 2019.
pdf (arxiv)
2018
A recommender system approach for predicting drug side effects
Diego Galeano, and Alberto Paccanaro
IJCNN. 2018.
(IEEE Xplore)
2017
Mining the Biomedical Literature to predict shared drug targets in drugbank
(co-first author*) Horacio Caniza*, <Diego Galeano, and Alberto Paccanaro
IEEE-CLEI. 2017.
(IEEE Xplore)
2016
Drug targets prediction using chemical similarity
Diego Galeano, and Alberto Paccanaro
IEEE-CLEI. 2016.
2015
Posturography Platform and Balance Control Training and Research System Based on FES and Muscle Synergies
Diego Galeano, Fernando Brunetti, Diego Torricelli, S. Piazza, JLP Rovira
Springer Series in Computational Neuroscience (book). 2015.
2014
A tool for balance control training using muscle synergies and multimodal interfaces
Diego Galeano, F. Brunetti, D. Torricelli, S. Piazza, JLP Rovira
BioMed research international (Hindawi) 2014.
2013
A low cost platform based on FES and muscle synergies for postural control research and rehabilitation
Diego Galeano, F. Brunetti, S. Piazza, D. Torricelli
NEUROTECHNIX 2013.

FGVEmap

ML Researcher
Facultad de Ingenieria, FIUNA
Universidad Nacional de Asuncion, Paraguay

dgaleano@ing.una.py


Google Scholar


Many thanks to Will Hamilton for the site template