The integration of technology into public health has transformed the way communities address health challenges. Digital health tools, including mobile applications, wearable devices, and telemedicine platforms, empower individuals to monitor and manage their health effectively. Big data analytics aids in tracking disease outbreaks, enabling swift responses to public health emergencies. Artificial intelligence enhances diagnostics, predicting potential health risks and offering personalized care solutions. Additionally, virtual platforms improve access to health education, breaking geographical barriers and promoting preventive measures. Technology also strengthens health systems by streamlining patient records and optimizing resource allocation. As innovations continue to evolve, they present an opportunity to bridge health disparities and foster equity. However, ensuring data security and addressing the digital divide remain essential for maximizing the potential of technology in public health.
Title : The impact of AI on the future of public health and preventative healthcare
David John Wortley, International Society of Digital Medicine (ISDM), United Kingdom
Title : Personalized and Precision Medicine (PPM) as a unique healthcare model to secure the human healthcare, wellness and biosafety through the view of public health, network-driven healthcare services and lifestyle management
Sergey Suchkov, National Center for Human Photosynthesis, Mexico
Title : Managing integration and interoperability of intelligent and ethical transformed health and social care ecosystems
Habil Bernd Blobel, University of Regensburg, Germany
Title : Study scalp electroacupuncture therapy for autism spectrum disorder
Zhenhuan Liu, University of Chinese Medicine, China
Title : Environmental Public Health Impact Assessment (EHIA) process for tobacco processing plants
Vijayan Gurumurthy Iyer, Techno-Economic- Environmental Study and Check Consultancy Services, India
Title : Therapeutic potential of Benincasa hispida extract in regulating metabolic markers among patients with type 2 diabetes
Wan Rosli Wan Ishak , University Science Malaysia, Malaysia