Scholar
Diego Galeano
Google Scholar ID: tRaX0QwAAAAJ
Facultad de Ingenieria, Universidad Nacional de Asuncion
Citations & Impact
Citations
665
H-index
9
i10-index
9
Publications
20
Co-authors
62
list available
Contact
Publications
Resume
Academic Achievements
- Paper 'Space Radiation Damage Rescued by Inhibition of Key Spaceflight Associated miRNAs' is under review at Nature Communications
- Paper 'Countermeasures for cardiac fibrosis in space travel: It takes more than a towel for a hitchhiker's guide to the galaxy' is under review at Nature npj Microgravity
- Paper 'A Comprehensive SARS-CoV-2 and COVID-19 review, Part 2: Host Extracellular to Systemic Effects of SARS-CoV-2 Infection' has been accepted in the European Journal of Human Genetics
- Paper 'Core mitochondrial genes are down-regulated during SARS-CoV-2 infection of rodent and human hosts' has been published in Science Translational Medicine
- Paper 'Machine learning prediction of side effects for drugs in clinical trials' published in Cell Reports Methods
- Paper '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' published in Theranostics
- Paper 'Machine learning and network medicine approaches for drug repositioning for COVID-19' published in Cell Patterns
- Paper 'A Recommender System Approach for Predicting Effective Antivirals' published in 2021 XLVII Latin American Computing Conference (CLEI)
- Paper 'Role of miR-2392 in driving SARS-CoV-2 infection' published in Cell Reports
- Paper 'The Great Deceiver: miR-2392’s Hidden Role in Driving SARS-CoV-2 Infection' published in Cell
Research Experience
- August 2023: Joined the non-profit Kwaai AI Lab as a Scientific Advisor
- July 2023: Presented research at the 14th Congreso Paraguayo de Infectologia - Simposio Virologia II
- July 2023: Invited by CONACYT to a public debate about Artificial Intelligence in Paraguay at their Science Expo!
- June 2023: Invited as a speaker to the N3C - NIH consortium
- March 2023: Invited to give research talks at Khipu
Background
- Machine Learning Researcher at the Faculty of Engineering, National University of Asunción, Paraguay. Also a consultant for the biotech/pharma industry in the U.S. Develops machine learning models for applications in drug discovery and medicine.
