Antonio F Martinez Monseny
Ayudante de investigación
The researcher Antonio Martinez-Monseny graduated in Medicine in 2010 from the University of Valencia, finalized his MIR in Pediatrics in 2015 and is currently finalizing his Doctorate from the University of Barcelona.
In 2014, he visited the Boston Children's Hospital, where he attended and participated in the clinical consultations of Clinical Genetics, Metabolic and Genetic Counseling, and at the Hospital la Fe in Valencia participating in the work of the Genetics laboratory.
In 2015, he joined the Department of Clinical Genetics for the Service of Molecular and Genetic Medicine and the Pediatric Institute for Minority Illnesses (IPER) of the Hospital Sant Joan de Déu. He collaborates on the rarecommons.org platform of the same Hospital.
- Bullich G, Matalonga L, Pujadas M, Papakonstantinou A, Piscia D, Tonda R, Artuch-Iriberri R, Gallano P, Garrabou G, González JR, Grinberg-Vaisman DR, Guitart M, Laurie S, Lázaro C, Luengo C, Martí R, Milà M, Ovelleiro D, Parra G, Pujol A, Tizzano E, Macaya A, Palau F, Ribes A, Pérez-Jurado LA and Beltran S Systematic Collaborative Reanalysis of Genomic Data Improves Diagnostic Yield in Neurologic Rare Diseases. JOURNAL OF MOLECULAR DIAGNOSTICS . 24(5): 529-542.
- Ramon-Krauel M, Amat-Bou M, Serrano M, Martinez-Monseny T and Lerin C Targeting the Gut Microbiome in Prader-Willi Syndrome. Journal of Clinical Medicine . 10(22): 5328.
- Tenorio-Castaño J, Arias P, Fernández-Jaén A, Lay-Son G, Bueno-Lozano G, Bayat A, Faivre L, Gallego N, Ramos S, Butler KM, Morel C, Hadjiyannakis S, Lespinasse J, Tran-Mau-Them F, Santos-Simarro F, Pinson L, Martinez-Monseny T, O'Callaghan-Gordo M, Álvarez S, Stolerman ES, Washington C, Ramos FJ, Consortium TS and Lapunzina P Tenorio syndrome: Description of 14 novel cases and review of the clinical and molecular features. CLINICAL GENETICS . 100(4): 405-411.
Professionals at Sant Joan de Déu make it easier for doctors around the world to diagnose a rare disease
They analysed the most remarkable traits of children suffering from PMM2-CDG and designed an app that uses a photograph of the patient's face to suggest a diagnosis.