Precision Health 2.0: Integrating Data from Wearables and AI for Next-Generation Personalized Care
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Wearables".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 22
Special Issue Editor
Interests: bioinformatics; health informatics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the rapidly evolving landscape of precision health, the integration of clinical data, wearable technologies, and artificial intelligence is redefining the way in which we approach personalized care. By combining sensor-derived data with electronic health records and AI-driven analytics, healthcare systems can gain real-time insights into patient conditions, enabling earlier interventions and more-tailored treatment strategies. This synergy not only enhances disease monitoring and risk prediction but also supports the development of adaptive, patient-centered therapeutic approaches. Collaboration among clinicians, technology developers, and data scientists is essential to ensuring that these innovations translate into practical healthcare solutions. This Special Issue invites contributions that explore how wearable devices, AI algorithms, and clinical practice can be seamlessly integrated to enable next-generation personalized care. We welcome submissions of original research, experimental studies, and comprehensive reviews, including systematic reviews and meta-analyses, focusing on data-driven approaches, remote monitoring, predictive modeling, and real-time decision support in healthcare.
Dr. Alessandro Orro
Guest Editor
Manuscript Submission Information
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Keywords
- clinical data
- wearable technologies
- artificial intelligence
- electronic health
- personalized care
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