ObMetrics is a Shiny app developed to facilitate the calculation of outcomes related to Metabolic Syndrome in pediatric populations. This repository contains documentation and licensing details for the application, which aims to provide a user-friendly interface for healthcare professionals and researchers.

This is an online repository gathering all codes employed for the analyses presented in the paper (Torres-Martos Á et al. (2024)). The purpose of this repository is to allow researchers to reproduce the Machine Learning pipeline presented in the paper, as well as to adapt provided codes for the analyses of their own datasets.

This analysis leverages publicly available NHANES data from the CDC to investigate insulin resistance and diabetes at the population level to determine whether public health could be improved with a more proactive approach to testing. 💉

Tracking insulin receptor up/down regulation for T1D

Unveiling adipose populations linked to metabolic health in obesity

This repository provides all code used in Anguita-Ruiz et al. (2026), supporting a longitudinal EWAS of insulin resistance trajectories across the pubertal transition in children with obesity. It enables full reproducibility of the analytical pipeline and facilitates its adaptation to other omics studies of cardiometabolic health.

Small React Native app for calculating carbohydrates for those with insulin resistance

Revisit of a project I completed in grad school to back up my analysis with hard data

This repository contains the full R code used to reproduce the analyses presented in:

CDFD Part III: Adaptive Flux Limitation Biology and Medicine

Streamlit app for HOMA-IR based insulin resistance assessment with OGTT+insulin profiles.

"Analytical model for Type 2 Diabetes in the Caucasian population, focusing on the causal relationship between insulin resistance and lipid overload."

Open-source algorithm for estimating the relative insulinogenic potential of meals from nutritional composition.