Random Forest as a tumour genetic marker extractor

Identifying tumour genetic markers is an essential task for biomedicine. In this thesis, we analyse a dataset of chromosomal rearrangements of cancer samples and present a methodology for extracting genetic markers from this dataset by using a Random Forest as a feature selection tool

Wordnet y Deep Learning: Una posible unión

Uno de los campos de estudio en alza del momento es el de Machine Learning, una rama de la inteligencia artificial que da a ciertos programas la habilidad de aprender autónoma-mente a partir de datos. Al no programar de forma directa los programas, sino entrenados, dentro de este campo una de las mayores incógnitas es descubrir por que algunos algoritmos toman ciertas decisiones en vez de otras. En este trabajo echaremos una ojeada dentro de una red convolucional profunda y estudiaremos las diferentes relaciones que se pueden encontrar entre una red convolucional entrenada con el conjunto de datos de imagenet y los synsets de wordnet. Todo esto basándonos en el trabajo presentado en el artículo An Out-of-the-box Full-network Embedding for Convolutional Neural Networks

Hàbits i percepció del son dels estudiants de l'assignatura de Fisiologia i fisiopatologia I del grau de Farmàcia

Podeu consultar la Vuitena trobada de professorat de Ciències de la Salut completa a: http://hdl.handle.net/2445/66524Molts estudis han demostrat que els adolescents no dormen suficient i que aquest fet pot causar un rendiment acadèmic baix. Una de les causes de la falta de son és anar a dormir tard, així com també l’exposició a l’ordinador en hores tardanes. La falta de son, a més, produeix una discrepància horària entre l’hora central del son dels dies laborables i la dels festius (jetlag social). En aquest treball s’han estudiat els hàbits de son dels estudiants de segon curs del Grau de Farmàcia, així com la seva percepció sobre la necessitat de dormir, tant en període acadèmic com en període no lectiu. L’enquesta va ser realitzada sense avís previ a la classe dedicada al son, dins de l’assignatura de Fisiologia i Fisiopatologia I, i va ser contestada de manera voluntària i anònima. Es va obtenir una mostra de 180 estudiants. Se’ls hi va demanar els horaris de son i la percepció de falta de son durant els dies laborables i festius, així com les hores davant de l’ordinador abans d’anar a dormir. També se’ls hi va passar un test de matutinitat-vespertinitat per l’estudi del cronotip. Els resultats indiquen que independentment del nombre d’hores de son, un 49% dels estudiants dormen els dies festius entre 1 i 3 hores més, mentre que un 6% ho fa més de 3 hores. Pel que fa a la quantificació a les hores de jetlag social, un 28% mostra una diferència d’’entre 1 i 2 hores, i un 2,5% més de 2 hores. Un 44% dels estudiants està entre 1-3 hores davant de l’ordinador abans d’anar a dormir i un 6,3% més de 3 hores. Els alumnes perceben que els dies laborables els hi manca més d’un hora de son en un 33% dels casos, percentatge que baixa a un 20% en període no lectiu. Atès que la falta de son i el jetlag social s’han associat a un rendiment acadèmic baix i a risc més elevat de patir alteracions metabòliques, és important, a partir del treball sobre dades pròpies de l’alumnat en facultats de ciències de la salut, incidir en la necessitat d'uns bons hàbits de son

The evolution of the ventilatory ratio is a prognostic factor in mechanically ventilated COVID-19 ARDS patients

COVID-19; Mechanical ventilation; Ventilatory ratioCOVID-19; Respiració assistida; Relació ventilatòriaCOVID-19; Ventilación mecánica; Relación ventilatoriaBackground Mortality due to COVID-19 is high, especially in patients requiring mechanical ventilation. The purpose of the study is to investigate associations between mortality and variables measured during the first three days of mechanical ventilation in patients with COVID-19 intubated at ICU admission. Methods Multicenter, observational, cohort study includes consecutive patients with COVID-19 admitted to 44 Spanish ICUs between February 25 and July 31, 2020, who required intubation at ICU admission and mechanical ventilation for more than three days. We collected demographic and clinical data prior to admission; information about clinical evolution at days 1 and 3 of mechanical ventilation; and outcomes. Results Of the 2,095 patients with COVID-19 admitted to the ICU, 1,118 (53.3%) were intubated at day 1 and remained under mechanical ventilation at day three. From days 1 to 3, PaO2/FiO2 increased from 115.6 [80.0–171.2] to 180.0 [135.4–227.9] mmHg and the ventilatory ratio from 1.73 [1.33–2.25] to 1.96 [1.61–2.40]. In-hospital mortality was 38.7%. A higher increase between ICU admission and day 3 in the ventilatory ratio (OR 1.04 [CI 1.01–1.07], p = 0.030) and creatinine levels (OR 1.05 [CI 1.01–1.09], p = 0.005) and a lower increase in platelet counts (OR 0.96 [CI 0.93–1.00], p = 0.037) were independently associated with a higher risk of death. No association between mortality and the PaO2/FiO2 variation was observed (OR 0.99 [CI 0.95 to 1.02], p = 0.47). Conclusions Higher ventilatory ratio and its increase at day 3 is associated with mortality in patients with COVID-19 receiving mechanical ventilation at ICU admission. No association was found in the PaO2/FiO2 variation.Financial support was provided by the Instituto de Salud Carlos III de Madrid (COV20/00110, ISCIII), Fondo Europeo de Desarrollo Regional (FEDER), "Una manera de hacer Europa", and by the Centro de Investigación Biomedica En Red – Enfermedades Respiratorias (CIBERES). DdGC has received financial support from Instituto de Salud Carlos III (Miguel Servet 2020: CP20/00041), co-funded by European Social Fund (ESF)/”Investing in your future”

The evolution of the ventilatory ratio is a prognostic factor in mechanically ventilated COVID-19 ARDS patients

Background Mortality due to COVID-19 is high, especially in patients requiring mechanical ventilation. The purpose of the study is to investigate associations between mortality and variables measured during the first three days of mechanical ventilation in patients with COVID-19 intubated at ICU admission. Methods Multicenter, observational, cohort study includes consecutive patients with COVID-19 admitted to 44 Spanish ICUs between February 25 and July 31, 2020, who required intubation at ICU admission and mechanical ventilation for more than three days. We collected demographic and clinical data prior to admission; information about clinical evolution at days 1 and 3 of mechanical ventilation; and outcomes. Results Of the 2,095 patients with COVID-19 admitted to the ICU, 1,118 (53.3%) were intubated at day 1 and remained under mechanical ventilation at day three. From days 1 to 3, PaO2/FiO2 increased from 115.6 [80.0–171.2] to 180.0 [135.4–227.9] mmHg and the ventilatory ratio from 1.73 [1.33–2.25] to 1.96 [1.61–2.40]. In-hospital mortality was 38.7%. A higher increase between ICU admission and day 3 in the ventilatory ratio (OR 1.04 [CI 1.01–1.07], p = 0.030) and creatinine levels (OR 1.05 [CI 1.01–1.09], p = 0.005) and a lower increase in platelet counts (OR 0.96 [CI 0.93–1.00], p = 0.037) were independently associated with a higher risk of death. No association between mortality and the PaO2/FiO2 variation was observed (OR 0.99 [CI 0.95 to 1.02], p = 0.47). Conclusions Higher ventilatory ratio and its increase at day 3 is associated with mortality in patients with COVID-19 receiving mechanical ventilation at ICU admission. No association was found in the PaO2/FiO2 variation.Instituto de Salud Carlos III de Madrid COV20/00110, ISCII

Higher frequency of comorbidities in fully vaccinated patients admitted to the ICU due to severe COVID-19: a prospective, multicentre, observational study

Severe COVID-19 disease requiring ICU admission is possible in the fully vaccinated population, especially in those with immunocompromised status and other comorbidities. Interventions to improve vaccine response might be necessary in this population.Peer ReviewedArticle signat per 23 autors/es: Anna Motos, Alexandre López-Gavín, Jordi Riera, Adrián Ceccato, Laia Fernández-Barat, Jesús F. Bermejo-Martin, Ricard Ferrer, David de Gonzalo-Calvo, Rosario Menéndez, Raquel Pérez-Arnal, Dario García-Gasulla, Alejandro Rodriguez, Oscar Peñuelas, José Ángel Lorente, Raquel Almansa, Albert Gabarrus, Judith Marin-Corral, Pilar Ricart, Ferran Roche-Campo, Susana Sancho Chinesta, Lorenzo Socias, Ferran Barbé, Antoni Torres on behalf of the CIBERESUCICOVID Project (COV20/00110, ISCIII).Postprint (published version