Our Publications

A selection of scientific publications, articles, and research outputs from the group.

Deep Learning Predicts Hematopoietic Stem Cell Aging From 3D Chromatin Images

Deep Learning Predicts Hematopoietic Stem Cell Aging From 3D Chromatin Images

P. Iáñez Picazo, E. Mejía-Ramírez, D. Di Bari, E. Vitali, M.C. Florian and P. Petrone

Aging Cell, 2026

Sex-specific clinical history improves disease prediction while revealing context-dependent effects on fairness in multimorbid populations

Sex-specific clinical history improves disease prediction while revealing context-dependent effects on fairness in multimorbid populations

Angélica Atehortúa, Uma-Maria Lal-Trehan Estrada and Paula Petrone

International Journal of Medical Informatics, 2026

Automated digitisation of ECG PDF panels for AI-based acute myocardial infarction classification: impact of short signal windows on machine learning performance

Automated digitisation of ECG PDF panels for AI-based acute myocardial infarction classification: impact of short signal windows on machine learning performance

Matías Calandrelli, other authors, Vishal Nair and Paula Petrone

ESC Digital & AI Summit 2026, 2026

CineScribe: LLM-Based Detection and Mitigation of Ambiguity in Cine Cardiac Magnetic Resonance Reports

CineScribe: LLM-Based Detection and Mitigation of Ambiguity in Cine Cardiac Magnetic Resonance Reports

Guillermo Villanueva Benito, Martin L. Descalzo, Sandra Pujadas, Juan Fernandez, Matias Calandrelli and Paula Petrone

Computers In Biology and Medicine, 2026

Predicting survival in extremely preterm infants: A multicenter machine learning study from Spain

Predicting survival in extremely preterm infants: A multicenter machine learning study from Spain

Paula Sol Ventura, other authors, Angélica Atehortúa, other authors and Paula Petrone

Computers in Biology and Medicine, 2026

Targeting RhoA nuclear mechanoactivity rejuvenates aged hematopoietic stem cells

Targeting RhoA nuclear mechanoactivity rejuvenates aged hematopoietic stem cells

Eva Mejía-Ramírez, Pablo Iáñez Picazo, other authors, Paula Petrone and M. Carolina Florian

Nature Aging, 2026

ZeCardioAI: combining zebrafish, AI, and xAI for an in-depth cardiac phenotyping platform

ZeCardioAI: combining zebrafish, AI, and xAI for an in-depth cardiac phenotyping platform

Ferran Arqué, other authors, Paula Petrone and Sylvia Dyballa

Briefings in Bioinformatics, 2026

pLDH to identify severity in imported malaria: Implementing smartphone video analysis for rapid clinical decision-making

pLDH to identify severity in imported malaria: Implementing smartphone video analysis for rapid clinical decision-making

Julia Pedreira-Rincón, other authors, Guillermo Villanueva, other authors, Paula Petrone, other authors and Claudio Parolo

Biosensors and Bioelectronics, 2026

Lessons learned from viral hepatitis testing that inform law and policy responses to steatotic liver disease

Lessons learned from viral hepatitis testing that inform law and policy responses to steatotic liver disease

Jeffrey V. Lazarus, other authors, Paula Petrone, other authors and Maja Thiele

Nature Reviews Gastroenterology & Hepatology, 2026

Deep learning predicts haematopoietic stem cell ageing from 3D chromatin images

Deep learning predicts haematopoietic stem cell ageing from 3D chromatin images

Pablo Iáñez Picazo, Eva Mejía-Ramírez, Dario Di Bari, Elena Vitali, Maria Carolina Florian and Paula Petrone

BioRxiv, 2025

Novel Artificial Intelligence-Driven Infant Meningitis Screening From High-Resolution Ultrasound Imaging

Novel Artificial Intelligence-Driven Infant Meningitis Screening From High-Resolution Ultrasound Imaging

Hassan Ahmed Sial, other authors, Paula Petrone and UNITED Study Consortium

Ultrasound in Medicine & Biology, 2025

Non-invasive meningitis screening in neonates and infants: multicentre international study

Non-invasive meningitis screening in neonates and infants: multicentre international study

Sara Ajanovic, other authors, Paula Petrone, other authors and UNITED study group

Pediatric Research, 2025

Machine learning for anxiety and depression profiling and risk assessment in the aftermath of an emergency

Machine learning for anxiety and depression profiling and risk assessment in the aftermath of an emergency

Guillermo Villanueva, other authors and Paula Petrone

Artificial Intelligence in Medicine, 2024

Machine learning approach to identify malaria risk in travelers using real-world evidence

Machine learning approach to identify malaria risk in travelers using real-world evidence

Pedro Emanuel Fleitas, Leire Balerdi Sarasola, Daniel Camprubi Ferrer, Jose Muñoz and Paula Petrone

Heliyon, 2024

MALrisk: a machine-learning–based tool to predict imported malaria in returned travellers with fever

MALrisk: a machine-learning–based tool to predict imported malaria in returned travellers with fever

Leire Balerdi-Sarasola, other authors, Paula Petrone, other authors and Daniel Camprubí-Ferrer

Journal of Travel Medicine, 2024

The impact of urban configuration types on urban heat islands, air pollution, CO2 emissions, and mortality in Europe: a data science approach

The impact of urban configuration types on urban heat islands, air pollution, CO2 emissions, and mortality in Europe: a data science approach

Tamara Iungman, other authors, Paula Petrone, other authors and Mark Nieuwenhuijse

The Lancet planetary health, 2024

Sociodemographic, lifestyle, and environmental determinants of vitamin D levels in pregnant women in Spain

Sociodemographic, lifestyle, and environmental determinants of vitamin D levels in pregnant women in Spain

Maria Llopis, other authors and Paula Petrone

Environment International, 2023

Strong off-target antibody reactivity to malarial antigens induced by RTS,S/AS01E vaccination is associated with protection

Strong off-target antibody reactivity to malarial antigens induced by RTS,S/AS01E vaccination is associated with protection

Dídac Macià, other authors, Paula Petrone and Carlota Dobaño

JCI insight, 2022