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Frontiers in Bioengineering and Biotechnology
|
April 2, 2020
A Novel Synthetic Model of the Glucose-Insulin System for Patient-Wise Inference of Physiological Parameters From Small-Size OGTT Data
Sebastián Contreras, David Medina-Ortiz, Carlos Conca, et al.
Frontiers in Molecular Biosciences
|
March 3, 2020
Development of Supervised Learning Predictive Models for Highly Non-linear Biological, Biomedical, and General Datasets
David Medina-Ortiz, Sebastián Contreras, Cristofer Quiroz, et al.
Biotechnology Advances
|
December 7, 2024
Interpretable and explainable predictive machine learning models for data-driven protein engineering
David Medina-Ortiz, Ashkan Khalifeh, Hoda Anvari-Kazemabad, et al.
Journal of Chemical Information and Modeling
|
November 17, 2025
Best Practices for Machine Learning-Assisted Protein Engineering
Fabio Herrera-Rocha, David Medina-Ortiz, Fabian Mauz, et al.
Frontiers in Public Health
|
January 8, 2021
Real-Time Estimation of <i>R</i> <sub></sub> for Supporting Public-Health Policies Against COVID-19
Sebastián Contreras, H Andrés Villavicencio, David Medina-Ortiz, et al.
Chaos, Solitons, and Fractals
|
June 6, 2020
A multi-group SEIRA model for the spread of COVID-19 among heterogeneous populations
Sebastián Contreras, H Andrés Villavicencio, David Medina-Ortiz, et al.
Frontiers in Nutrition
|
March 7, 2022
Patient-Wise Methodology to Assess Glycemic Health Status: Applications to Quantify the Efficacy and Physiological Targets of Polyphenols on Glycemic Control
Álvaro Olivera-Nappa, Sebastian Contreras, María Florencia Tevy, et al.
International Journal of Molecular Sciences
|
August 29, 2024
Protein Language Models and Machine Learning Facilitate the Identification of Antimicrobial Peptides
David Medina-Ortiz, Seba Contreras, Diego Fernández, et al.
Chaos, Solitons, and Fractals
|
August 25, 2020
Statistically-based methodology for revealing real contagion trends and correcting delay-induced errors in the assessment of COVID-19 pandemic
Sebastián Contreras, Juan Pablo Biron-Lattes, H Andrés Villavicencio, et al.
Frontiers in Molecular Biosciences
|
August 1, 2022
Generalized Property-Based Encoders and Digital Signal Processing Facilitate Predictive Tasks in Protein Engineering
David Medina-Ortiz, Sebastian Contreras, Juan Amado-Hinojosa, et al.
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Search research articles
Search
Showing results (1-10 of 18) with videos related to
Sort By:
Page
of 2
Frontiers in Bioengineering and Biotechnology
|
April 2, 2020
A Novel Synthetic Model of the Glucose-Insulin System for Patient-Wise Inference of Physiological Parameters From Small-Size OGTT Data
Sebastián Contreras, David Medina-Ortiz, Carlos Conca, et al.
Frontiers in Molecular Biosciences
|
March 3, 2020
Development of Supervised Learning Predictive Models for Highly Non-linear Biological, Biomedical, and General Datasets
David Medina-Ortiz, Sebastián Contreras, Cristofer Quiroz, et al.
Biotechnology Advances
|
December 7, 2024
Interpretable and explainable predictive machine learning models for data-driven protein engineering
David Medina-Ortiz, Ashkan Khalifeh, Hoda Anvari-Kazemabad, et al.
Journal of Chemical Information and Modeling
|
November 17, 2025
Best Practices for Machine Learning-Assisted Protein Engineering
Fabio Herrera-Rocha, David Medina-Ortiz, Fabian Mauz, et al.
Frontiers in Public Health
|
January 8, 2021
Real-Time Estimation of <i>R</i> <sub></sub> for Supporting Public-Health Policies Against COVID-19
Sebastián Contreras, H Andrés Villavicencio, David Medina-Ortiz, et al.
Chaos, Solitons, and Fractals
|
June 6, 2020
A multi-group SEIRA model for the spread of COVID-19 among heterogeneous populations
Sebastián Contreras, H Andrés Villavicencio, David Medina-Ortiz, et al.
Frontiers in Nutrition
|
March 7, 2022
Patient-Wise Methodology to Assess Glycemic Health Status: Applications to Quantify the Efficacy and Physiological Targets of Polyphenols on Glycemic Control
Álvaro Olivera-Nappa, Sebastian Contreras, María Florencia Tevy, et al.
International Journal of Molecular Sciences
|
August 29, 2024
Protein Language Models and Machine Learning Facilitate the Identification of Antimicrobial Peptides
David Medina-Ortiz, Seba Contreras, Diego Fernández, et al.
Chaos, Solitons, and Fractals
|
August 25, 2020
Statistically-based methodology for revealing real contagion trends and correcting delay-induced errors in the assessment of COVID-19 pandemic
Sebastián Contreras, Juan Pablo Biron-Lattes, H Andrés Villavicencio, et al.
Frontiers in Molecular Biosciences
|
August 1, 2022
Generalized Property-Based Encoders and Digital Signal Processing Facilitate Predictive Tasks in Protein Engineering
David Medina-Ortiz, Sebastian Contreras, Juan Amado-Hinojosa, et al.
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