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Disruptive solutions from mental health research

Disruptive solutions from mental health research

Take a look at some of the science-based solutions developed by our members.

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Thematic areas
Technologies
ProjectesClinics-05

EHealth/mHealth

Mental health promotion & prevention

PROMES-U

Mental health promotion and prevention in university students
G20. Health Services Research Group
Group PI: Jordi Alonso
Technological Projects

AI/Machine-Deep learning

General mental health

CAARE

Detection of activity patterns in daily life that can lead to health disorders by organising information from different sources (e.g. wearables)
G.11 Artificial Intelligence Research Institute
Group PI: Josep Lluis Arcos
Clinical Projects

EHealth/mHealth

Affective disorders

T’ACTIVA

A collaborative digital platform that improves users' health through contact with surrounding activities and citizens
G17. Brain, Cognition and behavior: Clinical Research
Group PI: Maite Garolera
Clinical Projects

EHealth/mHealth

Attention deficit & hyperactivity

TimeSpan

Risk stratification and treatments of adult patients with ADHD affected by cardiomyopathic disease through machine learning
G13. Psychiatry, Mental Health and Addictions
Group PI: Josep Antoni Ramos Quiroga
ProjectesClinics-05

AI/Machine-Deep learning

General mental health

PRESTO

Digital platform that optimizes the management and monitoring of people with depressive symptoms and anxiety in primary care
G24. Bipolar and Depressive Disorders Group
Group PI: Eduard Vieta
Clinical Projects

EHealth/mHealth

General mental health

Database of unitary costs

Database of health care service's tariffs and unitary costs required for health economics studies, as well as cost-effectiveness studies required to launch new products to the market
G3. Health Technology Assessment in Primary Care and Mental Health (PRISMA)
Group PI: Antoni Serrano Blanco
ProjectesClinics-05

EHealth/mHealth

General mental health

Neuroimage techniques

Application of digital technologies to carry out studies and analysis of neurological images
G27. Psychiatry and Mental Health Group
Group PI: Jose Manuel Menchón
Projectes

AI/Machine-Deep learning

Mental health promotion & prevention

Digital Phenotyping

Digital Phenotyping for the early detection of mental health problems
G33. Artificial Intelligence for Human Well-being (AIWELL)
Group PI: Agata Lapedriza Garcia
ProjectesClinics-05

Biomarkers

Schizophrenia/Psychotic disorder

FARMAPRED-PEP

Applied Pharmacogenetics to Predict Response to Treatment of First Psychotic Episode
G26. Clinical Schizophrenia Group (GEC)
Group PI: Miquel Bernardo Arroyo
ProjectesClinics-05

Methodological design

General mental health

Protocols for data collection

Design of quality, ecological and online data collection procedures for the field of primary mental health care
G15. Methodological Quality and Synthesis of Research in Health Psychology
Group PI: Josep Maria Losilla
ProjectesClinics-05

EHealth/mHealth

General mental health

sAPPtisfacció

Application that evaluates the satisfaction of mental health patients hospitalized at home through automated data collection
G25. Mental Health Research Group - Sant Pau
Group PI: Maria J. Portella
Projectes

AI/Machine-Deep learning

General mental health

INSESS-COVID19

Identification of Emerging Social Needs as a consequence of Covid-19 and effect on the Social Services of the territory using a methodology that combines data science techniques, knowledge management and AI
G10. IDEAI – Intelligent Data Science and Artificial Intelligence Research Center
Group PI: Karina Gibert

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