IoMT (Internet of Medical Things) is advanced healthcare technology concentrating on patient care using enhanced computing power and connectivity. IoMT has the capacity to advance the healthcare industry by providing wireless connectivity, ubiquitous computing, and quick processing resulting in reliable systems. IoMT can be utilized to manage medical emergencies from anywhere in the world. Modern information and communication technologies (ICT) characterize personalized health care into the 4P’s i.e., personalized, predictive, preventive, and participatory care. The main intention of IoMT is to increase patient-centric care and deliver value-based services and personalized medicine to patients, yielding a personalized healthcare system. Smart wearable devices or smart medical monitors are devices that can be used for healthcare systems. Personalized healthcare development aims to create a system that provides customized access to rich medical information, leading to efficient decision-making systems for successive sensing and monitoring of individual patients' healthcare.

Personalized healthcare using IoMT is an emerging concept that contains various challenges in integrating heterogeneous medical sensor networks to provide interoperability. Various research has been conducted to overcome the challenges of replacing and preventing the shortage of expensive medical sensors, maintaining the heterogeneity of the connected smart devices, replacing unstable IoT architectures, processing high volumes and varieties of data generated, and maintaining interoperability between the devices. The various challenges need to be overcome by incorporating new technologies, sensorized devices, and with the application of IoMT for personalized healthcare.

This Special Issue aims to collate innovative original research and review papers in order to develop a personalized, efficient, and collaborative healthcare system in real-time that meets requirements and overcomes current challenges by using the latest technological developments to provide guidelines for future work.

Potential topics include but are not limited to the following:

• Remote patient health monitoring for personalized healthcare
• Patient, staff, and supply chain management using IoMT
• IoT architectures for personalized healthcare
• Interconnection and communication of medical sensor data
• Integrating wearable sensors for personalized healthcare
• Emerging IoMT applications in personalized healthcare
• Survey on IoMT devices for home-based clinical proceedings
• Ubiquitous IoMT systems and services
• Maintaining the interoperability between healthcare applications
• Clinical decision support systems for IoMT
• Ontologies, AI, and semantic web systems in IoMT