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Adoración Nieto Ruiz

Institutions of which they are part

Multidisciplinary Nursing Research Group
Vall Hebron Institut de Recerca
Adoración Nieto Ruiz

Adoración Nieto Ruiz

Adoración Nieto Ruiz

Institutions of which they are part

Multidisciplinary Nursing Research Group
Vall Hebron Institut de Recerca

Projects

Validación e implementación de un panel molecular para el diagnóstico positivo del síndrome del intestino irritable con diarrea y para el diagnóstico diferencial de la diarrea crónica

IP: Fco Javier Santos Vicente
Collaborators: Ana Maria Gonzalez Castro, Lara Aguilera Castro, Marc Pigrau Pastor, Cristina Martínez Martínez, Adoración Nieto Ruiz
Funding agency: Instituto de Salud Carlos III
Funding: 220220
Reference: PI17/01902
Duration: 01/01/2018 - 30/06/2022

Identificación de perfiles bacterianos y epigenéticos género-dependientes en la fisiopatogenia del síndrome de intestino irritable.

IP: Carmen Alonso Cotoner
Collaborators: Ana Maria Gonzalez Castro, Adoración Nieto Ruiz
Funding agency: Instituto de Salud Carlos III
Funding: 128865
Reference: PI15/00301
Duration: 01/01/2016 - 30/11/2020

Desarrollo de nuevas metodologías y tecnologías emergentes de evidenciación de la eficacia de alimentos con propiedades de salud, para la reducción de riesgos de patologías crónicas en la edad media de vida (HENUFOOD)

IP: Fernando Azpiroz Vidaur
Collaborators: Fco Javier Santos Vicente, Carolina Malagelada Prats, Adoración Nieto Ruiz, Elizabeth Barba Orozco
Funding agency: CENTRO PARA EL DESARROLLO TÉCNICO INDUSTRIAL (CDTI
Funding: 450000
Reference: CENIT-2010-03
Duration: 01/06/2010 - 01/06/2013

Related news

The Neonatology Service aims to demonstrate that the individual family room for newborns is more beneficial than the shared box room.

The awarded study is titled “Perceptions and experiences of parents of premature newborns with an umbilical venous catheter who perform skin-to-skin contact,” and the granted scholarship will allow for its dissemination.

A clinical trial with the prototype of the device shows that the use of this technology improves patient monitoring by nurses and reduces post-surgical complications.

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