## 3 Perspectives and Outcomes of the Presented RHMS with a Focus on Diet-Related Approaches
### Schizophrenia, Dietary Habits, and Physical Health
#### 3.2.2 RHMS Role (NeuroPredict Platform) in Managing Schizophrenia
Specialising in liver health monitoring, the **HepatoConect system** integrates devices like the Withings Body+ and Withings Sleep Analyzer. This system ensures real-time monitoring of liver function and offers personalized insights for tailored dietary recommendations, as dietary interventions aimed at improving overweight (including sarcopenia obesity) and metabolic abnormalities, as well as combating malnutrition and sarcopenia in LC should become part of routine care in hepatology. The focus on secure data management safeguards sensitive information, contributing to a comprehensive and secure monitoring environment. A comprehensive analysis of the system's strengths and considerations sheds light on its role in personalized disease management. * _Strengths_
* Tailored for liver disease monitoring: the HepatoConect system excels in monitoring liver health, offering real-time insights into vital health data related to liver function but also provides remote monitoring solutions for potential comorbidities;
* Personalized dietary recommendations: Leveraging real-time monitoring, the system provides personalized insights for tailored dietary recommendations specific to liver health. This targeted approach ensures that interventions are customized to address the unique requirements of individuals managing diet-related diseases;
* An original multifaceted approach: provided by integrating comprehensive educational resources, solutions for remote evaluation of nutritional status, and individualized telemonitoring interventions through innovative technology. * Limitations
* Scope beyond liver health and virtual frailty assessment: While the system excels in monitoring liver health, exploring opportunities to expand its scope to encompass a broader range of health parameters may enhance its overall utility. Integrating additional monitoring capabilities could provide a more comprehensive health assessment;
* User engagement and commitment: The effectiveness of the HepatoConect system is contingent on user engagement and consistent commitment to monitoring protocols. Implementing user-friendly features and educational initiatives can address potential challenges associated with user adoption and adherence;
* Interoperability with comprehensive health systems: Ensuring seamless integration and interoperability with broader comprehensive health systems can enhance the system's contribution to multidisciplinary collaboration. This interoperability facilitates cohesive strategies for managing diet-related diseases across various healthcare specialities;
* Integration of AI and predictive analytics: The current HepatoConect system does not have capabilities of cross-sectional imaging data integration and interpretation through advanced analytics, and it is an important feature to consider for nutritional evaluation and screening in LC patients. A current limitation but a future capability of the system, as it is still under development and continuous improvement, integration of cutting-edge technologies is the ultimate goal of the HepatoConect system. Future Directions  
Future research may explore the optimisation of age-related monitoring in the ROMartAgeing system. Combining cutting-edge technologies with current ones, including AI-powered predictive modelling and epigenetic markers, might provide insights into the complex relationship between ageing, dietary habits, and health outcomes. The system's reliability and applicability might be expanded by the development of noninvasive age evaluation methods, such as advanced imaging or innovative sensors, which could also establish new benchmarks for efficiency in age-related health monitoring. With its emphasis on dietary habits and neurological health, the NeuroPredict Platform offers improved insights for comprehensive healthcare. In order to collect thorough neurological data, future research may address the merging of wearables with more advanced neuroinformatics technologies.