Carlos Hernández-Suárez
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View article: A transfer learning method for enhanced genomic prediction
A transfer learning method for enhanced genomic prediction Open
Genomic Selection (GS) is transforming the fields of plant and animal breeding by enabling selection based on genetic predictions without requiring direct phenotypic measurements. However, achieving practical implementation of GS is hinder…
View article: Estimating Coverage in Streams via a Modified CVM Method
Estimating Coverage in Streams via a Modified CVM Method Open
When individuals in a population can be classified in classes or categories, the coverage of a sample, $C$, is defined as the probability that a randomly selected individual from the population belongs to a class represented in the sample.…
View article: A novel method for genomic-enabled prediction of cultivars in new environments
A novel method for genomic-enabled prediction of cultivars in new environments Open
Introduction Genomic selection (GS) has gained global importance due to its potential to accelerate genetic progress and improve the efficiency of breeding programs. Objectives of the research In this research we proposed a method to impro…
View article: Back to the future: a simplified and intuitive derivation of the Lotka-Euler equation
Back to the future: a simplified and intuitive derivation of the Lotka-Euler equation Open
The Lotka-Euler equation is a mathematical expression used to study population dynamics and growth, particularly in the context of demography and ecology. The growth rate $λ$ is the speed at which an individual produce their offspring. It …
View article: Exact confidence intervals for population growth rate, longevity and generation time
Exact confidence intervals for population growth rate, longevity and generation time Open
By quantifying key life history parameters in populations, such as growth rate, longevity, and generation time, researchers and administrators can obtain valuable insights into its dynamics. Although point estimates of demographic paramete…
View article: Using Artificial Intelligence to Develop a Multivariate Model with a Machine Learning Model to Predict Complications in Mexican Diabetic Patients without Arterial Hypertension (National Nested Case-Control Study): Metformin and Elevated Normal Blood Pressure Are Risk Factors, and Obesity Is Protective
Using Artificial Intelligence to Develop a Multivariate Model with a Machine Learning Model to Predict Complications in Mexican Diabetic Patients without Arterial Hypertension (National Nested Case-Control Study): Metformin and Elevated Normal Blood Pressure Are Risk Factors, and Obesity Is Protective Open
Diabetes mellitus is a disease with no cure that can cause complications and even death. Moreover, over time, it will lead to chronic complications. Predictive models have been used to identify people with a tendency to develop diabetes me…
View article: What is expected for China’s SARS-CoV-2 epidemic?
What is expected for China’s SARS-CoV-2 epidemic? Open
Recently, China announced that its “zero-covid’ policy would end, which will bring serious challenges to the country’s health system. In here we provide simple calculations that allows us to provide an estimate of what is expected as an ou…
View article: What is expected for China's SARS-CoV-2 epidemic?
What is expected for China's SARS-CoV-2 epidemic? Open
Recently, China announced that its "zero-covid" policy would end, which will bring serious challenges to the country's health system. In here we provide simple calculations that allows us to provide an estimate of what is expected as an ou…
View article: Waning immunity to SARS-CoV-2 following vaccination or infection
Waning immunity to SARS-CoV-2 following vaccination or infection Open
We use survival analysis to analyze the decay in the protection induced by eight SARS-CoV-2 vaccines using data from 33,418 fully anonymized patients from the IMSS public health system in Mexico, including only previously vaccinated, confi…
View article: Revised calculation of the coefficient of parentage in plant breeding
Revised calculation of the coefficient of parentage in plant breeding Open
The knowledge of the genetic similarity between two individuals has been useful for animal breeders for a long time, and one of the most common measures of similarity is the Coefficient of Parentage (COP). For two individuals X and Y, it i…
View article: A probabilistic approach to calculate R0 in complex epidemic models
A probabilistic approach to calculate R0 in complex epidemic models Open
Epidemic models are a valuable tool in the decision-making process. Once a mathematical model for an epidemic has been established, the very next step is calculating a mathematical expression for the basic reproductive number, R0, which is…
View article: Revised calculation of the coefficient of parentage in plant breeding
Revised calculation of the coefficient of parentage in plant breeding Open
Background: The Coefficient of Parentage (COP) between two individuals is the expected inbreeding of their offspring. Originally exploited by animal breeders, is now a routine calculation among plant breeders as part of crop improvement pr…
View article: Revised calculation of the coefficient of parentage in plant breeding
Revised calculation of the coefficient of parentage in plant breeding Open
Background The Coefficient of Parentage (COP) between two individuals is the expected inbreeding of their offspring. Originally exploited by animal breeders, is now a routine calculation among plant breeders as part of crop improvement pro…
View article: The fallacy of herd immunity
The fallacy of herd immunity Open
Here we show that herd immunity is not a measure we can implement, trust, control or depend on, and that waiting for herd immunity to play a role is tantamount to hope for the best. Herd immunity is not some protection, as it has been refe…
View article: [Obesity, CKD and gender on the 30-day in-hospital mortality risk in adults with COVID-19].
[Obesity, CKD and gender on the 30-day in-hospital mortality risk in adults with COVID-19]. Open
A high mortality was observed among the hospitalized patients analyzed and statistically significant factors associated with their risk were identified (gender, obesity, and kidney disease).
View article: Revised calculation of the coefficient of parentage in plant breeding
Revised calculation of the coefficient of parentage in plant breeding Open
The Coefficient of Parentage (COP) between two individuals is the expected inbreeding of their offspring. Originally exploited by animal breeders, is now a routine calculation among plant breeders as part of crop improvement programs. Here…
View article: Collective targeted migrations: a balancing act involving aggregation, group size and environmental clues: a simulation study
Collective targeted migrations: a balancing act involving aggregation, group size and environmental clues: a simulation study Open
What is behind the \emph{wisdom of the crowds} described by Simons (2004)? It has been showed that insects may use gravitational fields to travel (Dreyer et al 2018) and we may ask whether the use of gravitational fields is enough to secur…
View article: A simple and intuitive method to calculate $R_0$ in complex epidemic models
A simple and intuitive method to calculate $R_0$ in complex epidemic models Open
Epidemic models are a valuable tool in the decision making process. Once a mathematical model for an epidemics has been established, the very next step is calculating a mathematical expression for the basic reproductive number, $R_0$, whic…
View article: A Comparison of Three Machine Learning Methods for Multivariate Genomic Prediction Using the Sparse Kernels Method (SKM) Library
A Comparison of Three Machine Learning Methods for Multivariate Genomic Prediction Using the Sparse Kernels Method (SKM) Library Open
Genomic selection (GS) changed the way plant breeders select genotypes. GS takes advantage of phenotypic and genotypic information to training a statistical machine learning model, which is used to predict phenotypic (or breeding) values o…
View article: Characterization of SARS-CoV-2 vaccine waning in Mexico
Characterization of SARS-CoV-2 vaccine waning in Mexico Open
1. Abstract We use survival analysis to analyze the decay in the protection induced by eight vaccines using data from 44, 006 patients from the IMSS public health system in Mexico, including only previously vaccinated, confirmed SARS-CoV-2…
View article: The Poisson algorithm: a simple method to simulate stochastic epidemic models with generally distributed residence times
The Poisson algorithm: a simple method to simulate stochastic epidemic models with generally distributed residence times Open
Epidemic models are used to analyze the progression or outcome of an epidemic under different control policies like vaccinations, quarantines, lockdowns, use of face-masks, pharmaceutical interventions, etc. When these models accurately re…
View article: Deep‐learning power and perspectives for genomic selection
Deep‐learning power and perspectives for genomic selection Open
Deep learning (DL) is revolutionizing the development of artificial intelligence systems. For example, before 2015, humans were better than artificial machines at classifying images and solving many problems of computer vision (related to …
View article: Applying Supply Chain Simulation Models For Planning Vaccination Campaigns
Applying Supply Chain Simulation Models For Planning Vaccination Campaigns Open
Humanity is facing an unprecedent sanitary crisis.Vaccination campaigns at large scale are being carried out all over the world.This research analyzes and compare two supply chain virtual models that simulate a stratified vaccination campa…
View article: Genetic Architecture and Genomic Prediction of Cooking Time in Common Bean (Phaseolus vulgaris L.)
Genetic Architecture and Genomic Prediction of Cooking Time in Common Bean (Phaseolus vulgaris L.) Open
Cooking time of the common bean is an important trait for consumer preference, with implications for nutrition, health, and environment. For efficient germplasm improvement, breeders need more information on the genetics to identify fast c…