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Fernanda Raquel Da Silva Andrade

Researcher at Drug Delivery and Targeting Group - Vall d'Hebron Institut de Recerca (VHIR), Barcelona, Spain, and is an Associate Professor in the Department of Pharmaceutical Technology from the Faculty of Pharmacy and Food Science from University of Barcelona, Spain. Has a Master in Pharmaceutical Sciences (University of Lisbon, Portugal) and a PhD degree in Pharmaceutical Sciences - Pharmaceutical Technology (University of Porto, Portugal).

Institutions of which they are part

Main researcher
Clinical Biochemistry, Drug Delivery & Therapy (CB-DDT)
Vall Hebron Institut de Recerca

Fernanda Raquel Da Silva Andrade

Institutions of which they are part

Main researcher
Clinical Biochemistry, Drug Delivery & Therapy (CB-DDT)
Vall Hebron Institut de Recerca

Researcher at Drug Delivery and Targeting Group - Vall d'Hebron Institut de Recerca (VHIR), Barcelona, Spain, and is an Associate Professor in the Department of Pharmaceutical Technology from the Faculty of Pharmacy and Food Science from University of Barcelona, Spain. Has a Master in Pharmaceutical Sciences (University of Lisbon, Portugal) and a PhD degree in Pharmaceutical Sciences - Pharmaceutical Technology (University of Porto, Portugal).

Her research interests are based on the development of formulations, namely nanoparticles, for the administration of drugs and biopharmaceuticals (peptides, proteins and genetic material) for the treatment of challenging diseases. Also has experience on study the effects of drugs and delivery systems on cancer stem cells and on the development and use of cell-culture models, animal models, and ex vivo models for drug absorption studies through the pulmonary, intestinal, and blood brain barrier.
Her major objective relies on the development of multifunctional drug delivery systems with improved characteristics such as increased therapeutic index and targeted delivery, allowing and efficient and safe treatment of challenging diseases like cancer or infectious diseases, with the ultimate goal of personalized medicine.
Her research work at different projects and collaborations with a variety of research groups from different countries have resulted in the authorship of two patents, several research and review papers, as well as book chapters.

Projects

Mejora del tratamiento de las enfermedades de depósito lisosomal mediante vehículos nanométricos optimizados.

IP: Mejora del tratamiento de las enfermedades de depósito lisosomal mediante vehículos nanométricos optimizados.
Collaborators: Sandra Mancilla Zamora, Zamira Vanessa Diaz Riascos, Fernanda Raquel Da Silva Andrade, Diana Fernandes de Rafael
Funding agency: Instituto de Salud Carlos III
Funding: 116160
Reference: PI18/00871
Duration: 01/01/2019 - 30/06/2022

SAFETY TESTING IN THE LIFE CYCLE OF NANOTECHNOLOGY-ENABLED MEDICAL TECHNOLOGIES FOR HEALTH..

IP: -
Collaborators: Marc Miquel Moltó Abad, Olga Sánchez- Maroto Carrizo, Julia German Cortes, Sandra Mancilla Zamora, Zamira Vanessa Diaz Riascos, Belen Garcia Prats, Angels Alcina Mila, Maria Fidel Lledò, Fernanda Raquel Da Silva Andrade, Diana Fernandes de Rafael, Simon Schwartz Navarro
Funding agency: EUROPEAN COMMISSION
Funding: 649580
Reference: SAFE-N-MEDTECHEC_H2020-NMBP2018
Duration: 01/04/2019 - 30/09/2023

Terapia combinada mediante nuevos nanoconjugados terapéuticos contra Células Madre Tumorales en tumores de mamas triple negativos

IP: Simon Schwartz Navarro
Collaborators: Laura García Latorre, Joaquin Seras Franzoso, Fernanda Raquel Da Silva Andrade, Diana Fernandes de Rafael
Funding agency: Instituto de Salud Carlos III
Funding: 123420
Reference: PI17/02242
Duration: 01/01/2018 - 31/12/2020

Related news

Based on the study led by VHIR, a clinical trial has been approved for patients with locally advanced pancreatic cancer.

Vall d'Hebron participates in a project to develop innovative microsampling technology, making blood collection more accessible and patient-centered.

Researchers from all over Europe gathered to kick off the SPM4.0 project, an innovative Marie Curie Skłodowska (MSCA-DN) doctoral network that promotes the development of autonomous Scanning Probe Microscopy with AI.

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