Explorando los avances en investigación para transformar la salud

Consulta las publicaciones más recientes de Amphora Health, reflejo de nuestro compromiso con la investigación biomédica de vanguardia.

Prevalence and metabolic risk factors of chronic kidney disease among a Mexican adult population: a cross-sectional study in primary healthcare medical units

Research Article

Paredes, A. R. A., García, A. G., Paredes, M. A. A., Velázquez, N., Bolaños, D. C. O., Sandoval, M. S. P., … & Aguilar, C. A.

2024

PeerJ

https://doi.org/10.7717/peerj.17817

chronic kidney disease metabolic risk factors primary healthcare Mexico healthcare disparities

Polygenic risk score portability for common diseases across genetically diverse populations

Research Article

Moreno-Grau, S., Vernekar, M., Lopez-Pineda, A., Mas-Montserrat, D., Barrabés, M., Quinto-Cortés, C. D., … & Bustamante, C. D.

2024

Human Genomics, 18(1), 93

https://doi.org/10.1186/s40246-024-00664-y

polygenic risk score genetic diversity common diseases health equity

Comprehensive genetic analysis of the Mexican Familial Hypercholesterolemia Registry participants

Poster

Salazar-Fernandez, E. P., Quinto-Cortés, C. D., Mourtzi, N., Moreno-Grau, S., Mas, D., Barrabes, M., Bonet, D., Lopez-Pineda, A., Wall, J., Ioannidis, A. G., Bustamante, C. D., Katsanis, N., Martagon, A. J., Mehta, R., Galan-Ramirez, G. A., Zubirán, R., Elias-Lopez, D., FH Mexican Registry Group, Tusié-Luna, T., & Aguilar-Salinas, C. A.

2024

Familial Hypercholesterolemia genetic analysis Mexican population genetic counseling

Reto CAMDA: Una exploración de IA y ML aplicado a diabetes

Poster

Santana-Quinteros, D., Tripp, J., Figueroa, K., Selem, N., & Lopez-Pineda, A.

2024

AI machine learning diabetes digital health

Construyendo un repositorio institucional, interoperable y digital para facilitar la investigación de DM2

Poster

Tripp, J., Rodríguez Morán, M. F., Quiroz Armada, P. S., Alvarez Aguilar, C., Gómez Garcia, A., & López Pineda, A.

2024

DM2 digital repository interoperability health research

DiabetIA, un recurso a partir de datos del mundo real para emular ensayos clínicos en México

Poster

Rodríguez Morán, M. F., Alvarez Aguilar, C., López Pineda, A., Tripp Gudiño, J., & Gómez García, A.

2024

real-world data clinical trials DiabetIA Mexico

Si eres diabético, cuida tus pies

Popular Science

Flores-Álvarez, L. J., & Álvarez-Aguilar, C.

2024

Saber Mas

public health diabetes health education

Neuropatía diabética: La enfermedad del «calcetín y guante»

Popular Science

Cortés-Vieyra, R., & López-Pineda, A.

2024

Saber Mas

public health diabetes health education

La diabetes mellitus tipo 2: ¿Cómo afecta al riñón?

Popular Science

Zinzun-Ixta, G., & Rodríguez-Morán, M. F.

2024

Saber Mas

public health diabetes health education

DiabetIA: Building Machine Learning Models for Type 2 Diabetes Complications

Pre-print

Tripp J., Santana-Quinteros, D., Perez-Estrada, R., Rodriguez-Moran, M. F. ..., Flores-Garrido, M., Garcia-Velazquez, L.M., Figueroa-Mora, K.M., Gomez-Garcia, A., Alvarez-Aguilar, C., Lopez-Pineda, A.

2023

https://doi.org/10.1101/2023.10.22.23297277

machine learning diabetes complications predictive models healthcare innovation

The Biobank of the Americas: An Exploration on a Direct-to-Consumer Genotyping Service for Latin America

Poster

Salazar-Fernandez, EP; Quinto-Cortés, CD; Gonzalez-Arroyo, G; Moreno Grau, S; Lopez-Pineda, A; Nava-Aguilar, MA; Moatamed, B; Lee, MT; Wall, J; Katsanis, N; Ioannidis, A; and Carlos D. Bustamante.

2023

https://drive.google.com/file/d/17600LCBALPnRl5BZ6z9Xft5rcaPRyucI/view

biobank genotyping Latin America genetic testing

A framework to evaluate and validate polygenic risk models at scale

Poster

Moreno Grau S., Vernekar M., Lopez-Pineda A., Nava-Aguilar M. A., Quinto-Cortés C., Moatamed B., Lee M., Yu Z., Numakura K., Matsuda Y., Wall J. D., Ioannidis A., Katsanis N., Takano T., Bustamante C.

2023

polygenic risk genetic models validation scalability

Assessment of polygenic risk score models across continental populations: a study in gout

Oral Presentation

Nava-Aguilar, MA; Moreno-Grau, S; Lopez-Pineda, A; Wall, J; Salazar-Fernandez, EP; Quinto-Cortés, CD; Gonzalez-Arroyo, G.; Moatamed, B; Lee, MT; Katsanis, N; Ioannidis, A; and Carlos D. Bustamante.

2023

https://drive.google.com/file/d/17600LCBALPnRl5BZ6z9Xft5rcaPRyucI/view

polygenic risk scores gout continental populations genetic epidemiology

PGS-Explorer: A web-based meta-analysis tool for polygenic scores

Abstract

Lopez Pineda, A., Perez Estrada, R., Nava-Aguilar, M. A., Menchaca Mendez, A., Anaya-Muñoz, V. H., & Moreno-Grau, S.

2023

Journal of Clinical Oncology

meta-analysis polygenic scores web tools clinical oncology

Validating and automating learning of cardiometabolic polygenic risk scores from direct-to-consumer genetic and phenotypic data: implications for scaling precision health research

Research Article

Lopez-Pineda, A., Vernekar, M., …, Nava-Aguilar, M.A., Gonzalez-Arroyo, G., … & Bustamante, C. D.

2022

Human genomics, 16(1), 1-10

cardiometabolic risk polygenic risk scores direct-to-consumer genetics precision health

Validating and automating learning of cardiometabolic polygenic risk scores from direct-to-consumer genetic and phenotypic data: implications for scaling precision health research

Pre-print

Pineda, A. L., Vernekar, M., Grau, S. M.,