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Risk stratification and treatments of adult patients with ADHD affected by cardiomyopathic disease through machine learning

This project seeks to drive improvements in risk stratification and treatments for adult ADHD patients with cardiometabolic disease. Therefore, they make use of Real World Data through Machine Learning algorithms and natural language processing. The ultimate goal is to favor adherence and improve the clinical outcomes and quality of life of these people.

Project website.

Other projects of the group include: CoCa: Use of technological applications to promote dopamine secretion in order to prevent Attention Deficit Hyperactivity Disorder (ADHD) from leading to harmful comorbidities.

Project website.

PI: Josep Antoni Ramos Quiroga

Research group: Psychiatry, Mental Health and Addictions

Institution: Vall d’Hebron Institut de Recerca (VHIR)

Visit the website here.

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