In the contemporary landscape of healthcare and fitness, the integration of advanced technological solutions is imperative to address the challenges posed by an ageing society and the increasing demand for personalized, adaptable training programs. This paper delineates the development and potential of a made-in-Europe ecosystem for multisport training, healthy lifestyle, and remote patient monitoring, leveraging the innovative synergy of cloud-edge continuum and AI-enhanced body sensors. The research highlights the critical role of wearable sensors, smart textiles, and TinyML technologies in transforming the accessibility and effectiveness of fitness programs and patient care. Through the deployment of edge computing and SD-WAN, the paper illustrates the seamless integration of real-time data processing, ensuring low latency and high reliability in data transmission. The exploration of heart rate variability (HRV) and breath sensing as tools for personalized training and recovery optimization in endurance sports further exemplifies the application of this integrated approach. Additionally, the challenges and solutions for realtime in-water transmission underscore the potential in aquatic sports monitoring. The paper also presents the advancements in smart textiles, integrating hybrid printed electronics for enhanced user comfort and functionality. Furthermore, the utilization of TinyML and forward learning in human activity recognition demonstrates the capability for real-time, adaptive analytics in sports and healthcare. This comprehensive ecosystem not only promises to revolutionize multisport training and health monitoring but also aims to reduce healthcare costs and improve the quality of life, marking a significant stride towards a holistic, technologically advanced approach in promoting health and fitness across Europe