INVESTIGADORES
STEGMAYER Georgina Silvia
congresos y reuniones científicas
Título:
Deep learning for reading and interpreting biomedical papers
Autor/es:
L.A. BUGNON, C. YONES, J. RAAD, M. GERARD, M.RUBIOLO, G.MERINO, M. PIVIDORI, L DI PERSIA, D.H. MILONE AND G. STEGMAYER
Lugar:
Mendoza
Reunión:
Congreso; X Congreso Argentino de Bioinformática y Biología Computacional; 2019
Institución organizadora:
A2B2C
Resumen:
Next-generationsequencing together with novel preclinical reports have led to anincreasingly large amount of results published in the scientificliterature. However, due to the huge amount of papers available,identifying novel treatments or predicting a drug response in, forexample, cancer patients remains a laborious and challenging work.This task requires ?reading? a lot of documents for identifyingjust a small set of papers that have the proper relations betweeninput keywords. There is an urgent need for computational methodsthat can automatically do this task.
