Artificial IntelligenceScience & Innovation

2025 Health and Wellness Research: Driving Technologies

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Tech News, 19 DEC 2025, New Delhi: In 2025, health and wellness research is propelled by AI, wearables, IoT, machine learning, and immersive technologies like VR/AR, enabling personalized monitoring, predictive care, and tele-exercise. These innovations shift healthcare from reactive to proactive models, empowering users with real-time data and virtual therapies. Consumer devices and spatial multi-omics further enhance diagnostics and lifestyle interventions.​

AI and Machine Learning

Machine learning drives user-centered digital healthcare, integrating with VR/AR for immersive mental health therapies and rehabilitation. It analyzes wearable data for proactive disease management, spotting anomalies in routines to prevent issues.​

Wearables and IoT

Smart wearables track vitals in real-time, combining IoT and AI for tele-exercise programs that promote wellness and early detection. Consumer tech enables self-managed care, with VR supporting virtual consultations amid workforce shortages.​

Immersive Technologies (VR/AR)

VR creates fully immersive digital environments via headsets, simulating real scenarios for therapy and training. AR overlays digital elements on the real world using apps or glasses, aiding surgical guidance and education. In health research, they revolutionize physiotherapy, anxiety treatment, and surgery simulations safely.​

Spatial and Multi-Omics Tech

Multiomic in situ profiling maps RNA, proteins, and immune markers in tissues, advancing cancer research and personalized treatments by revealing tumor microenvironments. These tools improve patient stratification and outcomes.​

Emerging Applications

Digital mental health interventions like AI-driven CBT apps surge, with bibliometric trends showing growth in personalized care. Workplace wellness uses IoT wearables for stress monitoring via GSR sensors. Overall, these technologies foster sustainable, accessible health ecosystems.​

Challenges

Accuracy can vary with device quality and fit, while data privacy risks require strong safeguards. Battery life and integration issues persist, though advancements in AI and IoT address these.

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