Marta Otero Viñas 2020

“UDivulga. Ciència i Societat” project

GRANT Original Title (catalan): "UDivulga. Ciència i Societat" Principal Investigador: Pilar López TR2Lab research team members: Marta Otero Viñas, Laia Bosch, Elisabet Dachs, Anna Dalmau, Ester Goutan, Xavier Jordana, Elisabet Sarri. Funded by: Fundación Española para la Ciencia y la Tecnología (FECYT) - FCT-19-14267. Period: 2020-21 Project [...]

Photoswitchable antagonists for a precise spatiotemporal control of β 2-adrenoceptors

ARTICLE. Duran Corbera A, Catena J, Otero-Viñas M, Llebaria A, Rovira X. Photoswitchable antagonists for a precise spatiotemporal control of β 2-adrenoceptors. J Med Chem. 2020 Jul 20. doi: 10.1021/acs.jmedchem.0c00831. PMID: 32686936 Abstract. β2-adrenoceptors (β2-AR) are prototypical G protein-coupled receptors and important pharmacological targets with relevant roles in physiology and disease. [...]

Ricard Rubio, TR2Lab TFG student, defends his final thesis degree

We are so proud that Ricard Rubio, TR2Lab member during this academic year, successfully defended his final degree thesis on June 19th. Ricard Rubio developed his Final Thesis Degree project (original title) “Creació d'un biobanc de sèrums de pacients amb ferides cròniques cutànies” in the research line of “Mechanisms of [...]

Helena Sureda presented a poster at the 9th Congres SEHER 2020

Very proud of doctoral student Helena Sureda for the advances in her doctoral project presented at the 9th Congres SEHER 2020 by Sociedad española de heridas. Madrid, 27-29 February 2020. Helena Sureda presented preliminary results of her doctoral project. Title of the poster communication “Evaluation of the diagnostic capacity of [...]

Research Techniques Made Simple: Deep Learning for the Classification of Dermatological Images

ARTICLE. Marta Cullell-Dalmau, Marta Otero-Viñas, Carlo Manzo. Research Techniques Made Simple: Deep Learning for the Classification of Dermatological Images. Journal of Investigative Dermatology (2020) 140, 507e514; doi:10.1016/j.jid.2019.12.029. Abstract. Deep learning is a branch of artificial intelligence that uses computational networks inspired by the human brain to extract patterns from raw [...]

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