Signal/Data Processing and Computing For Health Systems

    Topics include, but are not limited to:

    AI and machine learning for eHealth
    Machine and deep learning approaches for Health Data
    Generative AI for eHealth
    Fog/Edge/Cloud computing for wearable medical devices
    Virtual tele-rehabilitation
    Biometric analysis (gait analysis, eye-tracking, falls, mHealth)
    Signal processing for virus early detection
    Bioinformatics
    AI for precision medicine
    AI-driven drug discovery and development processes
    Federated learning for privacy-preserving health data analysis

Communications and Networking

    Topcis include, but are not limited to: 

    Network coding and error detection/correction
    Delay-tolerant, fault-tolerant, and reliable communication
    Quality of Service (QoS) and Quality of Experience (QoE)
    In-hospital networking, body area and cloud-integrated networking
    B5G-based eHealth solutions
    Future network designs and deterministic networking for eHealth
    Semantic communications for eHealth
    Network security for eHealth

Medical, Biomedical & Health Communication Systems

    Topics include, but are not limited to:

    Medical imaging, image compression and detection
    Signal processing, data cleansing, management and mining
    Smart health and big data
    IoT for eHealth and telemedicine
    eHealth platforms
    Digital platforms for biopharmaceutical clinical trials

Devices

    Topics include, but are not limited to:

    Integration of medical devices with eHealth platforms
    Medical device interoperability
    Wearable and implantable devices
    Device Security & Safety
    Wearable devices against virus infection
    eDrugs: nano-devices in blood stream
    Healthcare devices and circuits for AI

Service & Applications

    Topics include, but are not limited to:

    eHealth services/applications for physical and mental health
    eHealth services/applications for sports and exercise
    eHealth services/applications for public health (disease prevention, pandemic preparedness)
    eHealth services/applications for extreme environments
    mHealth applications and software
    Quality of experience (QoE) for eHealth services/applications
    Security, privacy and trust for e-Health services/applications
    Metaverse and digital twin applications for eHealth 
    Decision support systems for eHealth
    Real-time genomic counseling and testing
    Telemedicine services that incorporate genetic counseling and testing

Medical Studies

    Topics include, but are not limited to:

    eHealth case studies & applications
    eHealth for neurological diseases
    EEG/MEG in brain network analysis
    Telehealth in Obstetrician & Gynecology
    Cardiology tele-health
    Integration of transcranial magnetic stimulation (TMS) with EEG/functional magnetic resonance imaging (fMRI)