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Daniel Alvarez De la Sierra

Institutions of which they are part

Research technician
Translational Immunology
Vall Hebron Institut de Recerca

Daniel Alvarez De la Sierra

Institutions of which they are part

Research technician
Translational Immunology
Vall Hebron Institut de Recerca

Projects

COVID-19, PERFIL INMUNOLÓGICO DE RIESGO

IP: Ricardo Pujol Borrell
Collaborators: Manuel Hernández González, Mónica Martínez Gallo, Moisés Labrador Horrillo, Gema Codina Grau, Albert Blanco Grau, Andres Antón Pagarolas, Antonio Álvarez Fernandez, Nuria Fernández Hidalgo, Roser Ferrer Costa, Esteve Ribera Pascuet, Juan Carlos Ruiz Rodriguez, Jaume Ferrer Sancho, Anna Suy Franch, Pere Soler Palacín, Albert Selva O'Callaghan, Tomàs Pumarola Suñé, Isabel Ruiz Camps, Marta Miarons Font , Daniel Alvarez De la Sierra, Andrea Martín Nalda, Eva Polverino , Romina Dieli Crimi, Romina Dieli Crimi
Funding agency: Instituto de Salud Carlos III
Funding: 229000
Reference: COV20/00416
Duration: 08/05/2020 - 08/11/2021

RECEPTORES INHBITORIOS (NEGATIVE IMMUNE CHECKPOINT RECEPTORS, NCRs) EN AUTOINMUNIDAD TIROIDEA Y CANCER, NUEVAS VÍAS TERAPÉUTICAS EN AUTOINMUNIDAD

IP: Ricardo Pujol Borrell
Collaborators: Oscar González López, Roser Ferrer Costa, Carmela Iglesias i Felip, Ana María Marín Sánchez, Anna Casteras Román, Elena Garralda Cabanas, Daniel Alvarez De la Sierra
Funding agency: Instituto de Salud Carlos III
Funding: 147620
Reference: PI17/00324
Duration: 01/01/2018 - 30/06/2022

Sol·licitud de les beques Predoctorals. Modalitat VHIR-MIR

IP: Ricardo Pujol Borrell
Collaborators: Daniel Alvarez De la Sierra
Funding agency: Fundació Institut de Recerca HUVH
Funding: 46800
Reference: PRED-VHIR-16-34/ALVAREZ
Duration: 22/05/2017 - 21/05/2020

Diferencias inmunológicas en la Artritis idiopática Juvenil en relación a la respuesta al tratamiento antiTNF entre población pediátrica y adulta con especial atención a la inmunogenicidad

IP: -
Collaborators: Daniel Alvarez De la Sierra
Funding agency: Instituto de Salud Carlos III
Funding: 57475
Reference: PI13/00857
Duration: 01/01/2014 - 30/06/2018

Related news

As age increases in men, the concentration of the hormone in the blood drops and this increases the likelihood of severe progression of the infection in COVID-19 patients

The work used a machine learning system to show that certain immunological patterns are related to a more severe progression of the disease and more mortality.

The publication summarises the main results showing that at least 20% of cases of severe pneumonia after SARS-CoV-2 infection are explained by genetic and immunological anomalies.

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