## 3 Methods
### The NeuroPredict Platform
#### 3.1.2 The Architecture of the NeuroPredict Platform  
**The NeuroPredict platform's multi-level IoMT and AI-based architecture** has been carefully designed to leverage advanced technologies to facilitate efficient PD, AD, and MS monitoring, analysis, and management. At its basis, the platform comprises a complex ensemble of hardware and software components that optimize data collection, processing, and integration in clinical and residential environments (Figure 1). The main levels of the NeuroPredict architecture are presented as follows:  
* **The Device Layer** The NeuroPredict platform _comprises a wide range of IoMT devices_ meant to monitor vital health parameters. These devices consist of the following:
* _IoMT devices for health monitoring_ regularly track health parameters including heart rate, blood pressure, EKG data, and sleep patterns. They provide accurate information on health status like cardiovascular health and neurological markers, which are critical for the early identification and continuous management of neurodegenerative diseases;
* _Ambient sensors_ monitor living conditions related factors, such as temperature, humidity, air quality, and light levels. This information about the environment contributes to an improved awareness of how living conditions at home affect health outcomes, hence promoting proactive health management;
* _Built-in health applications_ improve patient engagement by allowing self-reported input of information, medication adherence tracking, symptom reporting, and contact with healthcare providers. These applications enable increased involvement from patients and help to build an extensive set of data for AI-driven analytics. IoMT devices in the NeuroPredict smart environment have complex connectivity features that allow for the real-time transfer of gathered data to the ICIPRO cloud infrastructure. This continuous data transmission guarantees that healthcare providers have rapid access to current patient data, allowing for prompt interventions and treatment plan revisions, if necessary, as well as the development of personalized healthcare plans tailored to particular patient requirements. The platform provides comprehensive patient profiles by merging data from many sources, including health records, IoMT device outputs, cognitive evaluations, and open data repositories. * **Communication layer** The NeuroPredict platform provides secure data transfer between IoMT devices and the tightly controlled ICIPRO cloud. Key features include the following:  
1. _Secure data transmission_ makes use of strong protocols for encryption for securely transmitting data from IoMT devices to the cloud infrastructure. This preserves the confidentiality and accuracy of patient data throughout transmission and storage;
2. _Interoperability_ that is in line with the interoperability standards, allowing for effortless integration with current healthcare systems and electronic health records (EHRs). This interoperability facilitates data interchange across multiple infrastructures, improving coordinated care and consistency. Figure 1: Architecture of NeuroPredict platform. * Cloud-based AI analytics layer The NeuroPredict platform's design is centered on _cloud-based infrastructure_, notably the ICIPRO cloud, which acts as the repository for all collected information. The ICIPRO cloud is used for storing, processing, and analyzing data generated from IoMT devices and other sources in the NeuroPredict environment. * _Data storage and management_ manages various datasets, such as medical records, IoMT device outputs, cognitive assessments, and open databases. This centralized process facilitates longitudinal data analysis while ensuring a comprehensive patient profile;
* _AI-driven analytics_ uses advanced algorithms to generate meaningful insights from multidimensional datasets. ML models analyze previous information to identify patterns, forecast disease progression, and enhance customized treatment approaches for neurodegenerative patients.