Author

Juan Carlos López Alfonso

Helmholtz Centre for Infection ResearchORCID 0000-0003-2432-5953Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Haralampos HatzikirouiD· 2 shared Marta LeocataiD· 1 shared Michael Meyer‐HermanniD· 1 shared Nikos I. KavallarisiD· 1 shared Pietro MascheroniiD· 1 shared Symeon SavvopoulosiD· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 9 mutual co-author links

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2 shared papersBioinformatics

Haralampos HatzikirouORCID

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2 papers

Recent·Most cited

BioinformaticsCommunications MedicinePeer-reviewedJul 29, 2021

Bayesian combination of mechanistic modeling and machine learning (BaM3): improving personalized tumor growth predictions

Pietro Mascheroni, Symeon Savvopoulos, Juan Carlos López Alfonso…·Haralampos Hatzikirou

BaM3 improves personalized tumor growth predictions by combining mechanistic modeling and machine learning, showing better performance in simulated and real patient data.

34 citations

humanBayesian inference

𝕏 PostBluesky

Systems BiologybioRxivPreprintMar 25, 2019

A novel averaging principle provides insights in the impact of intratumoral heterogeneity on tumor progression

Marta Leocata, Juan Carlos López Alfonso, Nikos I. Kavallaris, Haralampos Hatzikirou

The paper introduces a novel averaging method for random ordinary differential equations and applies it to study how intratumoral heterogeneity affects tumor growth dynamics.

DOI 10.1101/584490

statistical model

𝕏 PostBluesky