WANT A PROFILE LIKE THIS?
Create my FREE Plan Or learn about other options
Marta Lovino
PeerJ Editor & Reviewer
860 Points

Contributions by role

Reviewer 60
Editor 800

Contributions by subject area

Computational Biology
Algorithms and Analysis of Algorithms
Artificial Intelligence
Data Mining and Machine Learning
Data Science
Computer Vision
Optimization Theory and Computation
Human-Computer Interaction
Computer Education
Natural Language and Speech
Neural Networks
Bioinformatics
Theory and Formal Methods

Marta Lovino

PeerJ Editor & Reviewer

Summary

Dr. Marta Lovino is an assistant professor with a time contract at the University of Modena and Reggio Emilia, since 2023. She obtained her Ph.D. in Computer and Control Engineering with honors from Politecnico di Torino in 2021 and joined the AImage lab group as a Postdoctoral Research Fellow.

Dr. Lovino's primary research interests include cancer prognosis prediction, gene expression analysis, miRNA target prediction, gene regulatory networks, gene fusions, and multi-omics data integration. With a particular focus on leveraging artificial intelligence (AI) in the field of genetics to improve the understanding of cancer biology and enhance patient care.

Artificial Intelligence Computational Biology

Editorial Board Member

PeerJ Computer Science

Work details

Assistant Professor

University of Modena and Reggio Emilia
September 2023
Department of Engineering "Enzo Ferrari"

Websites

  • Google Scholar

PeerJ Contributions

  • Edited 5

Academic Editor on

April 29, 2025
IMPACT: an interactive multi-disease prevention and counterfactual treatment system using explainable AI and a multimodal LLM
Prasant Kumar Mohanty, Sharmila Anand John Francis, Rabindra Kumar Barik, K. Hemant Kumar Reddy, Diptendu Sinha Roy, Manob Jyoti Saikia
https://doi.org/10.7717/peerj-cs.2839
April 8, 2025
Fine-tuned deep transfer learning: an effective strategy for the accurate chronic kidney disease classification
Zeshan Aslam Khan, Muhammad Waqar, Hashir Ullah Khan, Naveed Ishtiaq Chaudhary, Abeer TMA Khan, Iqra Ishtiaq, Farrukh Aslam Khan, Muhammad Asif Zahoor Raja
https://doi.org/10.7717/peerj-cs.2800
November 6, 2024
Genome-wide association studies of ischemic stroke based on interpretable machine learning
Stefan Nikolić, Dmitry I. Ignatov, Gennady V. Khvorykh, Svetlana A. Limborska, Andrey V. Khrunin
https://doi.org/10.7717/peerj-cs.2454
August 9, 2024
SEF-UNet: advancing abdominal multi-organ segmentation with SEFormer and depthwise cascaded upsampling
Yaping Zhao, Yizhang Jiang, Lijun Huang, Kaijian Xia
https://doi.org/10.7717/peerj-cs.2238
July 10, 2024
Survival analysis in breast cancer: evaluating ensemble learning techniques for prediction
Gonca Buyrukoğlu
https://doi.org/10.7717/peerj-cs.2147