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Rosa María Bartolomé Comas

Institutions of which they are part

Microbiology
Vall Hebron Institut de Recerca

Rosa María Bartolomé Comas

Institutions of which they are part

Microbiology
Vall Hebron Institut de Recerca

Projects

RAIS: Scalable, point-of-care and label free microarray platform for rapid detection of Sepsis

IP: Rosa María Bartolomé Comas
Collaborators: Alberto Zarco Alcocer, Juan Carlos Ruiz Rodriguez, Juan Jose Gonzalez Lopez
Funding agency: EUROPEAN COMMISSION
Funding: 371000
Reference: RAIS_H2020-H&ICT2014
Duration: 01/01/2015 - 31/03/2018

Neisseria gonorrhoeae: Monitorización de la sensibilidad antimicrobiana, estudio de la dinámica poblacional y caracterización molecular de las resistencias

IP: -
Collaborators: Rosa María Bartolomé Comas
Funding agency: Instituto de Salud Carlos III
Funding: 50215
Reference: PI12/01808
Duration: 01/01/2013 - 31/12/2016

Red Española de Investigación en Patología Infecciosa

IP: -
Collaborators: M Teresa Martin Gomez, María Nieves Larrosa Escartin, Oscar Len Abad, Gema Codina Grau, Virginia Rodríguez Garrido, Mª Carmen Ferrer Barberà, Andres Antón Pagarolas, Albert Pahissa Berga, Rosa María Bartolomé Comas, Nuria Fernández Hidalgo, Joan Gavaldà Santapau, Juliana Esperalba Esquerra, Ma Dolores Rodríguez Pardo, Tomàs Pumarola Suñé, Carles Pigrau Serrallach, Isabel Ruiz Camps, Juan Jose Gonzalez Lopez, Pablo Salvador Corona Pérez-Cardona
Funding agency: Instituto de Salud Carlos III
Funding: 476877.39
Reference: RD12/0015/0003
Duration: 01/01/2013 - 31/12/2017

Grup d'Investigació en Microbiologia de l'Hospital Vall d'Hebron

IP: -
Collaborators: María Nieves Larrosa Escartin, Gema Codina Grau, Rosa María Bartolomé Comas, Mª Teresa Tórtola Fernández, Elena Sulleiro Igual, Juan Jose Gonzalez Lopez
Funding agency: Agència Gestió Ajuts Universitaris i de Recerca
Funding: 42640
Reference: 2009 SGR 296
Duration: 01/01/2010 - 30/04/2014

Related news

The study results show that the local presence of IL-1β promotes the development of myeloid cells with an immunosuppressive function.

The project has developed a low-cost system to diagnose malaria and schistosomiasis using artificial intelligence and a robotic microscope.

The collaboration will focus on several key areas of mutual interest in microbiology in particular antimicrobial resistance and stewardship.

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