Just published🤓📰: A comprehensive systematic review of guidelines📐by Norma Verdolini et BipolarBarcelona about the Long-term Treatment of #bipolardisorder type I including clinical practice algorithms 🧮. Hospital Clínic IDIBAPS CIBERSAM 👉 bit.ly/3rxr0sR

Our last paper exploring the potential role of 🧠cognitive impairment of #bipolardisorder patients in 📱smartphone apps use can be found here 👉authors.elsevier.com/c/1cNMbbXYig-S…

In case someone is interested, ScienceDirect is offering free access for a limited time to our last paper at BipolarBarcelona about the PRESTO project recently published in revPsiquiatria: authors.elsevier.com/c/1d7KK6jWQDYh…

🤓Excited to launch at BipolarBarcelona, the 🆕 website of the PRESTO project aimed at tackling #MentalHealth problems🧠 in #PrimaryCare by integrating #mhealth and #ai based solutions. Learn more at 🌐➡️prestoclinic.cat. IDIBAPS Hospital Clínic CIBERSAM

¿Cuál es el mayor mito sobre Trastorno #Bipolar? Lo cuenta Diego Hidalgo-Mazzei, investigador en IDIBAPS Hospital Clínic CIBERSAM Nueva entrevista en nuestro podcast sobre #SaludMental a cargo de Ignacio Crespo 🎙️psynal.eu/bipolaridad-po…

Can machine learning with data from wearable devices distinguish disease severity levels and generalise across patients? A pilot study in Mania and Depression medrxiv.org/cgi/content/sh… #medRxiv

Hi ha un sobre-ús dels fàrmacs antidepressius? 🤔 Les dades de primària a Catalunya indiquen que sí... 😱 Llegeix el paper gratuïtament fins el 22 de febrer a authors.elsevier.com/c/1gMRQ6jWQDcV…

💊La prescripció d'antidepressius ha augmentat un notablement els darrers 10 anys a Catalunya. 📰Un estudi del #CLÍNIC detecta aquest augment de prescripció, sobretot en dones i persones grans. ➕Info #PortalCLÍNIC👉bit.ly/3ZiR9er Fundación BBVA

New in JMIR: Vickybot, a Chatbot for #Anxiety-#Depressive Symptoms and Work-Related Burnout in Primary Care and #HealthCare Professionals: Development, Feasibility, and Potential Effectiveness Studies dlvr.it/Slwpy0

New in JMIR mhealth: Exploring #Digital Biomarkers of Illness Activity in Mood Episodes: Hypotheses Generating and Model Development Study dlvr.it/SnWwcx

#ForoCIBERSAM Identificación de #biomarcadoresdigitales de sintomatología y respuesta al tratamiento en #trastornobipolar a partir de wearables. 🗣️Diego Hidalgo-Mazzei Hospital Clínic #CIBER

We are grateful to the media for highlighting our study during the last ECNP 2023 congress in Barcelona. For more information and updates on the study, please visit our website: intrepibd.github.io lemonde.fr/sciences/artic… via Le Monde

Experts from across Europe will gather at the 4th Digital Psychiatry Innovation Summit on October 26th-27th, to shape the future of digital mental healthcare and inspire new approaches in the field. #AngeliniPharma #EveryStepCloser #WithYouInMind #PSYSUM2023

Encantados de haber participado en este interesante simposio sobre soluciones digitales para la salud mental con Diego Hidalgo-Mazzei Diego Hidalgo-Mazzei, Gerard Anmella Díaz, Mireia Primé Tous, Carme Armentano Oller Carme Armentano y Joaquim Radua en el CNP2023 SEPSM BipolarBarcelona

1/7 Understanding #mentalhealth 🧠through heart rate 🫀?👉osf.io/preprints/psya… Heart rate variability (HRV), i.e. the fluctuation in the time intervals between consecutive heartbeats, is a window into the health of the autonomous nervous system.

I highly recommend the exceptional work of Filippo Corponi in our TIMEBASE-INTREPIBD (lnkd.in/dqeneudB) project, recently published in Translational Psychiatry. A must-read about the potential of #wearables and #machinelearning in #mooddisorders! 📘🔬

Diego Hidalgo-Mazzei presents PRESTOapp to target depressive symptoms at Primary Care in #EPA2024 Congress Bucarest

New in JMIR mhealth: #Wearable Data From Subjects Playing Super Mario, Taking University Exams, or Performing Physical Exercise Help Detect Acute Mood Disorder Episodes via Self-Supervised Learning: Prospective, Exploratory, Observational Study dlvr.it/T9jv2K

1/2 If you are working in #wearables, #AI, and #healthcare do not let small datasets stop you. mhealth.jmir.org/2024/1/e55094 👈 We share the largest publicly available data collection for #empatica #e4 and release the codebase for pre-processing and self-supervised pre-training.