Our solutions based on digital innovative technology and applications are focused on integrating Big Data and AI to enhance the accuracy and efficacy of diagnoses and treatments, contributing to more personalized and effective healthcare practices. Central to these projects is a strong commitment to ethical standards, encompassing the respectful handling of data, patient privacy, and informed consent that balances digital advancement with ethical integrity.

MRAST framework is a multimodal approach that combines patient diary recordings and advanced analysis techniques to provide a more nuanced understanding of psychological risks in oncology patients.  Its aim is to enhance the accuracy of depression recognition and to aid in early detection of mental disorders, thereby improving how healthcare providers assess and address the psychological impacts of cancer.  It shifts the paradigm from a one-size-fits-all approach to a personalized, patient-centric model that empowers clinicians with actionable insights, leading to improved patient outcomes and enhanced quality of care.

 

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Digital solution designed to bridge the gap between institutionalized living environments and the actual needs and interests of the elderly. The framework, based on extensive research and understanding of seniors’ daily life requirements is integrating technological advancements with a deep comprehension of geriatric psychology.  Our conversational interface is designed to be natural, realistic, and empathetic, building trust and ease among users. The solution utilizes a dynamic model combining personalized telemonitoring, guided interventions, and the engaging aspect of gamification to foster health-related behavioral changes.

 

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OpenHR represents a paradigm shift in healthcare, seamlessly integrating expert systems, Big Data, and advanced analytics into daily medical practice. It is a gateway to a more efficient, personalized, and ethical healthcare future, addressing key challenges in the European Health Data Space, including data accessibility, standardization, and security. This tool is thus designed to enhance diagnosis and treatment processes by leveraging a cross-border Big Data dataset, addressing real-world clinical practice challenges. 

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