Publications

(2022). Generalized property-based encoders and digital signal processing facilitate predictive tasks in protein engineering. In Front. Mol. Biosci..

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(2022). Describing a landscape we are yet discovering. In AStA Adv Stat Anal.

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(2022). New year, new SARS-CoV-2 variant: Resolutions on genomic surveillance protocols to face Omicron. In The Lancet Americas.

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(2022). Patient-Wise Methodology to Assess Glycemic Health Status: Applications to Quantify the Efficacy and Physiological Targets of Polyphenols on Glycemic Control. In Front Nut.

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(2022). Interplay Between Risk Perception, Behavior, and COVID-19 Spread. In Front Phys.

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(2022). Rethinking COVID-19 vaccine allocation: it is time to care about our neighbours. In The Lancet Europe.

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(2021). low case numbers enable long-term stable pandemic control without lockdowns. In Science Advances.

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(2021). Relaxing restrictions at the pace of vaccination increases freedom and guards against further COVID-19 waves. In PLoS COMP BIOL.

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(2021). Risking further COVID-19 waves despite vaccination. In The Lancet Inf Dis.

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(2021). The challenges of containing SARS-CoV-2 via test-trace-and-isolate. In Nature Commun.

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(2020). Real-time estimation of Rt for supporting public-health policies against COVID-19. In Front Public Health.

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(2020). DMAKit: A user-friendly web platform for bringing state-of-the-art data analysis techniques to non-specific users. In Information Systems.

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(2020). Statistically-based methodology for revealing real contagion trends and correcting delay-induced errors in the assessment of COVID-19 pandemic. In Chaos, Solitons, Fractals.

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(2020). Country-Wise Forecast Model for the Effective Reproduction Number Rt of Coronavirus Disease. In Front Phys.

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(2020). A multi-group SEIRA model for the spread of COVID-19 among heterogeneous populations. In Chaos, Solitons, Fractals.

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(2020). A novel synthetic model of the glucose-insulin system for patient-wise inference of physiological parameters from small-size OGTT data. In Front Bioeng Biotech.

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(2020). Development of Supervised Learning Predictive Models for Highly Non-linear Biological, Biomedical, and General Datasets. In Front Mol Biosci..

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