Giulia Russo

Orcid: 0000-0001-6616-7856

According to our database1, Giulia Russo authored at least 60 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Beyond the state of the art of reverse vaccinology: predicting vaccine efficacy with the universal immune system simulator for influenza.
BMC Bioinform., December, 2023

Boosting multiple sclerosis lesion segmentation through attention mechanism.
Comput. Biol. Medicine, July, 2023

Machine Learning techniques application to predict the quality of life degree in breast cancer patients.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Enhancing Multiple Sclerosis Lesion Segmentation in Multimodal MRI Scans with Diffusion Models.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Genetic Algorithm-Based Prediction of Emerging SARS-CoV-2 Variants: A Computational Biology Perspective.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Universal Immune System Simulator Analysis: The Impact of the Variable Approach Technique® on Enhancing Immune Defense Against infectious diseases.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Modeling Cutaneous Leishmaniasis: Insights into M1/M2 Macrophage Dynamics Using the Universal Immune System Simulator.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Predictive Modelling of Allergic Responses to Chemical Sensitizers: Distinguishing Skin and Respiratory Reactions.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Modeling and Simulation of anakinra effects on severe COVID19 Patients.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Toward A Regulatory Pathway for the Use of in Silico Trials in the CE Marking of Medical Devices.
IEEE J. Biomed. Health Informatics, 2022

In silico clinical trials for relapsing-remitting multiple sclerosis with MS TreatSim.
BMC Medical Informatics Decis. Mak., 2022

A multi-step and multi-scale bioinformatic protocol to investigate potential SARS-CoV-2 vaccine targets.
Briefings Bioinform., 2022

UISS-GPU: Accelerated In-Silico Tuberculosis Vaccine Trials Using FLAME GPU.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Cutaneous Leishmaniasis: discovering new effective therapies using the Universal Immune System Simulator.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Genetic algorithm application for the prediction of potential SARS-CoV-2 new variant of concern.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Possible Contexts of Use for In Silico Trials Methodologies: A Consensus-Based Review.
IEEE J. Biomed. Health Informatics, 2021

Evaluation of word embedding models to extract and predict surgical data in breast cancer.
BMC Bioinform., 2021

Model verification tools: a computational framework for verification assessment of mechanistic agent-based models.
BMC Bioinform., 2021

In silico design of recombinant multi-epitope vaccine against influenza A virus.
BMC Bioinform., 2021

PETAL: a Python tool for deep analysis of biological pathways.
Bioinform., 2021

PEAK: A Clever Python Tool for Exploratory, Regression, and Classification Data. A Case Study for COVID-19.
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021

A multi-step and multi-scale bioinformatic approach to investigate potential source of cross-reactive immunity against SARS-CoV-2 UK variant.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Uncertainty quantification and sensitivity analysis for in silico trial platform: a preliminary application on UISS-MS.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Credibility of In Silico Trial Technologies - A Theoretical Framing.
IEEE J. Biomed. Health Informatics, 2020

In Silico Trial to test COVID-19 candidate vaccines: a case study with UISS platform.
CoRR, 2020

Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB.
BMC Bioinform., 2020

In silico trial to test COVID-19 candidate vaccines: a case study with UISS platform.
BMC Bioinform., 2020

Toward computational modelling on immune system function.
BMC Bioinform., 2020

Generation of digital patients for the simulation of tuberculosis with UISS-TB.
BMC Bioinform., 2020

Evaluation of the predictive capability of PETAL tool: a retrospective study on potential tyrosine kinases drug resistance targets.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Modeling, simulation and prediction of protein structures for the design of oncolytic viruses.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Verify: a toolbox for deterministic verification of computational models.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Toward computational modelling on immune system function.
BMC Bioinform., December, 2019

Computational Immunogenetics.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019

POSITION PAPER: Credibility of In Silico Trial Technologies: A Theoretical Framing.
CoRR, 2019

Predicting the artificial immunity induced by RUTI® vaccine against tuberculosis using universal immune system simulator (UISS).
BMC Bioinform., 2019

EpiMethEx: a tool for large-scale integrated analysis in methylation hotspots linked to genetic regulation.
BMC Bioinform., 2019

Computational modeling reveals MAP3K8 as mediator of resistance to vemurafenib in thyroid cancer stem cells.
Bioinform., 2019

In silico clinical trials: concepts and early adoptions.
Briefings Bioinform., 2019

A MapReduce Based Tool for the Analysis and Discovery of Novel Therapeutic Targets.
Proceedings of the 27th Euromicro International Conference on Parallel, 2019

In Silico Evaluation of Daclizumab and Vitamin D Effects in Multiple Sclerosis Using Agent Based Models.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2019

Gene expression and pathway bioinformatics analysis detect a potential predictive value of MAP3K8 in thyroid cancer progression.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Evaluation of the efficacy of RUTI and ID93/GLA-SE vaccines in tuberculosis treatment: in silico trial through UISS-TB simulator.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Exploiting Stochastic Petri Net formalism to capture the Relapsing Remitting Multiple Sclerosis variability under Daclizumab administration.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Generation of digital patients for the simulation of tuberculosis with UISS-TB.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

A MapReduce tool for in-depth analysis of KEGG pathways: identification and visualization of therapeutic target candidates.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Continuous Petri Nets and microRNA Analysis in Melanoma.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

Combining Parallel Genetic Algorithms and Machine Learning to Improve the Research of Optimal Vaccination Protocols.
Proceedings of the 26th Euromicro International Conference on Parallel, 2018

BIOESOnet: A Tool for the Generation of Personalized Human Metabolic Pathways from 23andMe Exome Data.
Proceedings of the Intelligent Computing Theories and Application, 2018

GPU Accelerated Analysis of Treg-Teff Cross Regulation in Relapsing-Remitting Multiple Sclerosis.
Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018

Computational modeling approach to suggest possible therapeutic interventions in spinal muscular atrophy.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Agent based modeling of relapsing multiple sclerosis: a possible approach to predict treatment outcome.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

An agent based modeling approach for the analysis of tuberculosis - immune system dynamics.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Combining agent based-models and virtual screening techniques to predict the best citrus-derived vaccine adjuvants against human papilloma virus.
BMC Bioinform., 2017

Modeling PI3K/PDK1/Akt and MAPK Signaling Pathways Using Continuous Petri Nets.
Proceedings of the Intelligent Computing Theories and Application, 2017

2DIs: A SBML Compliant Web Platform for the Design and Modeling of Immune System Interactions.
Proceedings of the Intelligent Computing Theories and Application, 2017

Introducing scale factor adjustments on agent-based simulations of the immune system.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Optimization and analisys of vaccination schedules using simulated annealing and agent based models.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
A computational model to predict the immune system activation by citrus-derived vaccine adjuvants.
Bioinform., 2016

2015
Computational modeling of the expansion of human cord blood CD133<sup>+</sup> hematopoietic stem/progenitor cells with different cytokine combinations.
Bioinform., 2015


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