Analyzing the contribution of different passively collected data to predict Stress and Depression

no code implementations • 20 Oct 2023 • Irene Bonafonte, Cristina Bustos, Abraham Larrazolo, Gilberto Lorenzo Martinez Luna, Adolfo Guzman Arenas, Xavier Baro, Isaac Tourgeman, Mercedes Balcells, Agata Lapedriza

In this paper, we analyze the contribution of different passively collected sensor data types (WiFi, GPS, Social interaction, Phone Log, Physical Activity, Audio, and Academic features) to predict daily selfreport stress and PHQ-9 depression score.

Blocking of the CD80/86 axis as a therapeutic approach to prevent progression to more severe forms of COVID-19

1 code implementation • 20 May 2020 • Antonio Julià, Irene Bonafonte, Antonio Gómez, María López-Lasanta, Mireia López-Corbeto, Sergio H. Martínez-Mateu, Jordi Lladós, Iván Rodríguez-Nunez, Richard M. Myers, Sara Marsal

To support this hypothesis, we performed an analysis integrating blood transcriptional data we generated from rheumatoid arthritis patients treated with abatacept -- a CD80/86 co-stimulation inhibitor -- with the pathological features associated with COVID-19, particularly in its more severe forms.

Blocking