Francesco Pappalardo

Orcid: 0000-0003-1668-3320

Affiliations:
  • University of Catania, Italy


According to our database1, Francesco Pappalardo authored at least 113 papers between 2000 and 2024.

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

Timeline

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PhD thesis 
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Links

Online presence:

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Bibliography

2024

Pioneering bioinformatics with agent-based modelling: an innovative protocol to accurately forecast skin or respiratory allergic reactions to chemical sensitizers.
Briefings Bioinform., 2024

ICPR 2024 Competition on Multiple Sclerosis Lesion Segmentation - Methods and Results.
Proceedings of the Pattern Recognition. Competitions - 27th International Conference, 2024

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

How molecular packets improve cell-to-cell communication.
Proceedings of the NANOCOM '21: The Eighth Annual ACM International Conference on Nanoscale Computing and Communication, Virtual Event, Italy, September 7, 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

Computational modeling of the immune response in multiple sclerosis using epimod framework.
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
A computational approach based on the colored Petri net formalism for studying multiple sclerosis.
BMC Bioinform., December, 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

Parallelisation strategies for agent based simulation of immune systems.
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

Multiple Sclerosis Disease: A Computational Approach for Investigating Its Drug Interactions.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 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

Computational modeling of brain pathologies: the case of multiple sclerosis.
Briefings 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

Efficient and Settings-Free Calibration of Detailed Kinetic Metabolic Models with Enzyme Isoforms Characterization.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018

Estimating Daclizumab effects in Multiple Sclerosis using Stochastic Symmetric Nets.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Parallel Pair-Wise Interaction for Multi-Agent Immune Systems Modelling.
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
SHyFTA, a Stochastic Hybrid Fault Tree Automaton for the modelling and simulation of dynamic reliability problems.
Expert Syst. Appl., 2016

A methodological approach for using high-level Petri Nets to model the immune system response.
BMC Bioinform., 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

Targeting the Minimum Vertex Set Problem with an Enhanced Genetic Algorithm Improved with Local Search Strategies.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

2014
Induction of T-cell memory by a dendritic cell vaccine: a computational model.
Bioinform., 2014

OntoFast: Construct Ontology Rapidly.
Proceedings of the Knowledge Engineering and the Semantic Web, 2014

Relapsing-remitting multiple scleroris and the role of vitamin D: an agent based model.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013
Agent based modeling of Treg-Teff cross regulation in relapsing-remitting multiple sclerosis.
BMC Bioinform., 2013

Mathematical modeling of biological systems.
Briefings Bioinform., 2013

Computational Biology Modeling across Different Scales.
Proceedings of the SIMULTECH 2013, 2013

iAtheroSim: atherosclerosis process simulator on smart devices.
Proceedings of the ACM Conference on Bioinformatics, 2013

2012
Optimal vaccination schedule search using genetic algorithm over MPI technology.
BMC Medical Informatics Decis. Mak., 2012

Immune System Modeling and Related Pathologies.
Comput. Math. Methods Medicine, 2012

Mathematical modeling of the immune system recognition to mammary carcinoma antigen.
BMC Bioinform., 2012

Modeling Cancer Vaccines.
Proceedings of the Sixth International Conference on Complex, 2012

2011
Predicting Long-Term Vaccine Efficacy against Metastases Using Agents.
Proceedings of the Bio-Inspired Computing and Applications, 2011

2010
Modeling the competition between lung metastases and the immune system using agents.
BMC Bioinform., 2010

Cancer Immunoprevention: What Can We Learn from in Silico Models?
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

GRIDUISS - A Grid Based Universal Immune System Simulator Framework.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2010

Universal immune system simulator framework (UISS).
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010

2009
Simulated Annealing and Optimal Protocols.
J. Circuits Syst. Comput., 2009

The MWF method for kinetic equations system.
Comput. Math. Appl., 2009

ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization.
Briefings Bioinform., 2009

Toward Multi-organs Simulations of Immune-Pathogen Interactions.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Agent Based Modeling of Atherosclerosis: A Concrete Help in Personalized Treatments.
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009

Agent Based Modeling of Lung Metastasis-Immune System Competition.
Proceedings of the Artificial Immune Systems, 8th International Conference, 2009

HAMFAST: Fast Hamming Distance Computation.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

The ImmunoGrid Simulator: How to Use It.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2009

2008
Optimal vaccination schedules using simulated annealing.
Bioinform., 2008

Modeling immune system control of atherogenesis.
Bioinform., 2008

2007
Optimization of HAART with genetic algorithms and agent-based models of HIV infection.
Bioinform., 2007

Towards a Personalized Schedule with Triplex Vaccine.
Proceedings of the Applications of Fuzzy Sets Theory, 2007

A Genetic Algorithm for Shortest Path Motion Problem in Three Dimensions.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

2006
Discovery of cancer vaccination protocols with a genetic algorithm driving an agent based simulator.
BMC Bioinform., 2006

Model Deconstruction of an Immunoprevention Vaccine.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

2005
Modeling and simulation of cancer immunoprevention vaccine.
Bioinform., 2005

Genetic Algorithm Against Cancer.
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005

Using Viruses to Improve GAs.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

2004
Algoritmi evolutivi per l'approssimazione di problemi di ottimizzazione combinatorica.
PhD thesis, 2004

2003
An ant-algorithm for the weighted minimum hitting set problem.
Proceedings of the 2003 IEEE Swarm Intelligence Symposium, 2003

The Hitting Set Problem and Evolutionary Algorithmic Techniques with ad-hoc Viruses (HEAT-V).
Proceedings of the Genetic and Evolutionary Computation, 2003

2002
An evolutionary algorithm for the T-constrained variation of Minimum Hitting Set problem.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2000
Piranha Audit: Kernel Enhancements And Utilities To Improve Audit/Logging.
Proceedings of the 4th Annual Linux Showcase & Conference 2000, 2000


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