A Collaborative Innovation in Mental Health Care The MindSpeak project represents a collaborative effort between NiceDay in the Netherlands and Kairntech in France, aiming to revolutionize mental health care through the integration of advanced Natural Language Processing (NLP) systems. The primary focus involves leveraging state-of-the-art pre-trained Large Language Models (LLMs), such as Llama or ChatGPT, […]
The Challenge of Depression Relapse Depression, a leading cause of global health-related burden, affects a significant portion of the population, with a high tendency for recurrence. Relapse rates, particularly exacerbated during the COVID-19 pandemic, highlight the critical need for effective prevention strategies. Traditional therapy, while beneficial, faces limitations in accessibility and engagement, often failing to […]
Addressing key risk factors for cardiovascular diseases Cardiovascular diseases remain a leading health concern globally, with smoking and insufficient physical activity identified as significant risk factors. Despite the well-known dangers, quitting smoking and increasing physical activity levels are challenges many individuals struggle with. A crucial barrier to overcoming these challenges is the lack of timely […]
Addressing psychological trauma and PTSD in high-risk occupations Psychological trauma, particularly prevalent among first responders and other high-risk occupational groups, significantly contributes to mental and physical health issues, including major depression, anxiety disorders, and substance abuse. The resultant socioeconomic costs are profound, exacerbated by the high prevalence rates of Post-Traumatic Stress Disorder (PTSD) within these […]
Collaboration for a Digital Revolution in Mental Healthcare In a groundbreaking partnership, NiceDay, DMHealth, and the Centro de Excelencia em Inteligencia Artificial (CEIA) are spearheading a digital transformation in the mental health sector of Brazil. This collaboration aims to support mental health professionals with an advanced digital intervention platform, marking a significant leap towards modernizing […]
Introduction to bipolar disorder and its impact Bipolar disorder (BD) presents a significant challenge to individuals affected by it, manifesting in extreme mood swings ranging from mania to depression. This condition affects approximately 1.9% of the population in the Netherlands, translating to a considerable disease burden estimated at €400 million annually. The chronic nature of […]
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Introduction and collaboration announcement We are thrilled to announce the official kickoff of the ZonMw Doelmatigheids research project, a pioneering initiative aimed at enhancing the treatment of anxiety and mood disorders through technology. This collaborative venture brings together Sol, Leiden University Medical Centre (LUMC), NiceDay, Depressie Vereniging, Angst Dwang en Fobie stichting, Synaeda, MiSi NeuroPsy, […]
eXplainable AI in Personalized Mental Healthcare This research collaboration aims to develop novel decision support tools for personalized online therapy by combining eXplainable Artificial Intelligence (XAI) and expert knowledge from mental healthcare professionals. Its main goal is to assist therapists during their in-between session slots by indicating which clients require close examination in their data […]
Objective and Scope This research project aims to rigorously assess the effectiveness, feasibility, and acceptability of data-supported treatments provided through the NiceDay therapy platform, specifically targeting mood and anxiety disorders. The project seeks to understand how digital therapy practices and specific factors contribute to successful treatment outcomes, laying the groundwork for extensive experimental research on […]
Kassadin-2 focuses on developing early warning technologies that can be used as decision support tool for more effective mental e-Mental Health, and providing benefits to the therapists in terms of time efficiency and service quality. Klinisch Assistentie- en Adviesplatform voor Interventies Jan 2018 – Dec 2019 Background Depression represents a significant cause of disability and […]
A technical crossover between the ICT and Health sectors aims to perform network analysis on symptoms of patients with mental complaints. This can help to focus treatments on those areas that are most crucial to the patient’s condition, leading to a more efficient treatment. Empathic Learning Infrastructure for Symptom Analysis Feb 2018 – Nov 2018 […]
Feasibility study to investigate eHealth tools that facilitate communication between practitioners and clients via chat and video calling, enriched with emotion recognition algorithms. Outcome-driven Learning Infrastructure for Multimodal Affect Recognition Apr 2018 – Feb 2019 Background Mood status is an important predictor for various mental health problems. In depression, for example, people experience long periods […]
