Scientific Sessions
Session 1Artificial Intelligence (AI) in Health
Artificial Intelligence (AI) in health is revolutionizing the medical field by enhancing diagnostic accuracy, personalizing treatment plans, and improving patient outcomes. AI algorithms analyze vast amounts of medical data, enabling early detection of diseases such as cancer and heart conditions. Machine learning models assist in predicting patient deterioration, optimizing resource allocation, and streamlining administrative tasks. AI-powered tools, like chatbots and virtual health assistants, offer 24/7 support and health monitoring, improving patient engagement and adherence to treatment protocols. Overall, AI in health holds the promise of more efficient, effective, and accessible healthcare solutions.
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Session 2Digital Health Technologies and Digital Therapeutics
Session 3Drug Screening & Drug Discovery
Drug screening and drug discovery leverages advanced technologies and methodologies to accelerate the identification and development of new pharmaceuticals. High-throughput screening (HTS) and computational approaches, such as machine learning and molecular modeling, enable researchers to rapidly test and analyze thousands of compounds for potential therapeutic effects. By integrating big data analytics, genomics, and bioinformatics, scientists can identify promising drug candidates more efficiently, predict their efficacy and safety, and streamline the drug development pipeline. This synergy not only reduces the time and cost associated with bringing new drugs to market but also enhances the precision and success rate of discovering effective treatments for various diseases.
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Session 4Telepsychiatry and Mental Health Services
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Session 5Remote Care & Indigenous Health
Remote care allows indigenous communities to receive timely medical consultations, follow-up care, and health education without the need for extensive travel. It enables healthcare providers to deliver culturally sensitive care by collaborating with local health workers and incorporating traditional healing practices. Additionally, remote care platforms can support continuous health monitoring, chronic disease management, and mental health services, addressing the specific health needs of indigenous populations while respecting their cultural values and practices. This approach helps bridge the gap in healthcare access and improves overall health outcomes for indigenous communities.
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Session 6Personalised Medicine & Healthcare
Personalized medicine and healthcare represent a paradigm shift in the approach to medical treatment and patient care, focusing on tailoring medical interventions to individual characteristics, such as genetic makeup, lifestyle, and environment. By leveraging advances in genomics, proteomics, and data analytics, personalized medicine aims to provide more accurate diagnoses, predict disease risk, and develop targeted therapies that improve patient outcomes. In personalized medicine, treatments are designed based on a patient’s unique genetic profile, allowing for more precise targeting of diseases like cancer, cardiovascular disorders, and rare genetic conditions. This approach reduces the trial-and-error aspect of prescribing medications, minimizes adverse drug reactions, and enhances the efficacy of treatments.
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Session 7Aged Care & Disability Services
Aged care and disability services are crucial sectors dedicated to supporting the well-being, independence, and quality of life for elderly individuals and those with disabilities. These services encompass a wide range of care options, from in-home assistance to specialized residential facilities, and aim to address the unique physical, emotional, and social needs of these populations.
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Session 8Infectious Disease Management
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Session 9Regenerative Medicine and Digital Tools
Regenerative medicine aims to restore or replace damaged tissues and organs using techniques like stem cell therapy, tissue engineering, and gene editing. Digital tools enhance this field by providing advanced imaging, data analysis, and simulation capabilities. These tools enable precise diagnostics, better treatment planning, and the development of personalized medicine approaches, thus accelerating the advancement and effectiveness of regenerative therapies.
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Session 10Blockchain in Healthcare
Blockchain in healthcare ensures secure, transparent, and immutable record-keeping. It can enhance patient data privacy, streamline administrative processes, and facilitate secure sharing of medical records among stakeholders. By providing a decentralized ledger, blockchain reduces fraud, improves data accuracy, and promotes trust in the healthcare ecosystem.
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Session 11Wearable Health Technology and Sensors
Wearable health technology and sensors monitor physiological data in real time, such as heart rate, blood pressure, and activity levels. These devices provide continuous health insights, enable early detection of potential issues, and support personalized health management. By integrating with digital platforms, they enhance patient care through timely data and actionable feedback.
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Session 12Remote Patient Monitoring and Management
Remote patient monitoring and management involve using digital tools and devices to track a patient’s health metrics outside traditional healthcare settings. This approach allows for real-time monitoring of conditions like chronic diseases, facilitates early intervention, and supports ongoing care through telemedicine. It enhances patient engagement, reduces hospital visits, and improves overall health outcomes by providing continuous oversight and personalized care.
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Session 13Chronic Disease Management
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Session 14Virtual Care and Telecare
Virtual care and telecare utilize digital technology to provide healthcare services remotely. Virtual care includes consultations and follow-ups via video calls or online platforms, while telecare involves remote monitoring of health conditions using wearable devices and sensors. Both approaches increase accessibility, reduce travel time, and facilitate continuous care, enhancing patient convenience and engagement while optimizing resource use in healthcare.
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Session 15Health Analytics and Palliative Care
Health analytics in palliative care involves using data to improve patient outcomes and optimize care. By analyzing patient data, healthcare providers can better understand symptoms, predict complications, and tailor interventions to individual needs. This data-driven approach enhances decision-making, supports personalized care plans, and improves the overall quality of life for patients with serious, life-limiting conditions.
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Session 16Primary Care Coordination
Primary care coordination involves managing and integrating various aspects of a patient’s care to ensure consistent, comprehensive treatment. It includes organizing referrals, sharing information among healthcare providers, and aligning care plans to address all of a patient’s needs. Effective coordination improves patient outcomes, enhances communication, and streamlines the management of chronic conditions, leading to more efficient and holistic care.
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Session 17Rehabilitation Services Remotly
Rehabilitation services remotely use digital platforms and tools to deliver therapy and support outside traditional settings. This can include virtual physical therapy sessions, online exercise programs, and telehealth consultations with rehabilitation specialists. Remote rehabilitation enhances accessibility, allows for personalized and convenient care, and can support continuous progress tracking and adjustments to therapy plans based on real-time feedback.
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Session 18Health IT Infrastructure
Health IT infrastructure refers to the technological systems and frameworks that support the collection, storage, and management of health information. It includes electronic health records (EHRs), health information exchanges (HIEs), telemedicine platforms, and data analytics tools. A robust health IT infrastructure ensures data security, facilitates efficient information sharing, and supports clinical decision-making, ultimately enhancing patient care and operational efficiency in healthcare settings.
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Session 19Health Education Technologies
Session 20Robotics in Healthcare
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Session 21Behavioral Health Technologies
Behavioral Health Technologies encompass digital tools and platforms designed to improve mental and behavioral health outcomes. These technologies include mobile apps for mental health tracking, teletherapy platforms, virtual reality interventions, and AI-driven support systems. They provide accessible and scalable solutions for managing conditions such as depression, anxiety, and stress. By leveraging data and digital innovations, these technologies aim to enhance personalized care, offer real-time support, and reduce barriers to treatment, ultimately promoting overall well-being and mental health.
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Session 22E-Pharmacy
E-Pharmacy refers to the online provision of pharmaceutical services, where customers can purchase prescription and over-the-counter medications through digital platforms. These platforms enable users to order medications, receive prescriptions, and access health information from the comfort of their homes. E-Pharmacies often offer additional services such as medication reminders, virtual consultations with pharmacists, and home delivery. This model improves accessibility, convenience, and efficiency in obtaining medications, though it also requires robust regulatory measures to ensure safety and authenticity.
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Session 23Telepsychiatry
Session 24Virtual Clinical Trials
Virtual clinical trials, also known as decentralized or remote clinical trials, use digital tools and technologies to conduct research outside of traditional clinical settings. Participants can engage in trials from their homes or local healthcare facilities, using technologies like wearable devices, mobile apps, and telemedicine to collect data, monitor health, and communicate with researchers. This approach enhances participant recruitment and retention, reduces geographic barriers, and can accelerate the development of new treatments. Virtual trials also offer more flexibility and can provide real-time data, but they require robust data security and regulatory compliance to ensure accuracy and participant safety.
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Session 25Smart Implants
Session 26Bioinformatics
Bioinformatics is an interdisciplinary field that combines biology, computer science, and mathematics to analyze and interpret biological data. It involves the development and application of computational tools and algorithms to manage, analyze, and visualize complex biological data, such as genetic sequences, protein structures, and molecular interactions. Bioinformatics plays a crucial role in areas like genomics, proteomics, and systems biology, helping researchers understand genetic variations, predict protein functions, and uncover insights into diseases. By integrating large datasets and applying computational techniques, bioinformatics accelerates discoveries in medicine, agriculture, and environmental science.
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Session 27Mobile Telehealth Clinics
Mobile telehealth clinics are mobile units equipped with telemedicine technology that bring healthcare services directly to communities, often in underserved or remote areas. These clinics are typically outfitted with medical equipment and communication tools that enable healthcare professionals to provide consultations, diagnostics, and treatment remotely. Patients can receive care through video calls, remote monitoring, and digital health tools, while the mobile clinic travels to different locations. This model enhances access to medical care, especially for populations with limited access to traditional healthcare facilities, and supports preventive care, chronic disease management, and urgent medical needs.
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Session 28Patient-Generated Health Data
Session 29Nutritional Apps and Devices
Nutritional apps and devices are digital tools designed to support individuals in managing their dietary habits and overall nutrition. These apps often feature functionalities such as tracking food intake, monitoring nutritional values, setting dietary goals, and providing personalized meal recommendations. Some apps also integrate with wearable devices to collect data on physical activity and metabolism, offering a holistic view of a person’s health. Devices like smart scales and nutrition trackers can measure parameters such as body composition and nutrient levels. Together, these tools help users make informed dietary choices, track their progress, and achieve better health outcomes by facilitating a deeper understanding of their nutritional needs and habits.
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Session 30Virtual Reality (VR) and Augmented Reality (AR) in Health
Virtual Reality (VR) and Augmented Reality (AR) are increasingly used in healthcare to enhance diagnosis, treatment, and patient care. VR creates immersive simulations that can be used for medical training, pain management, and rehabilitation. For example, VR can simulate surgical procedures for training purposes or offer therapeutic environments to help patients manage chronic pain and anxiety. AR overlays digital information onto the real world, providing valuable support in clinical settings. Surgeons can use AR to view detailed anatomical information during procedures, enhancing precision and safety. AR can also assist in patient education by visualizing complex medical information and aiding in physical therapy through interactive exercises. Both VR and AR contribute to more engaging, effective, and personalized healthcare experiences, advancing medical training, improving patient outcomes, and enhancing overall care.
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