The road to precision medicine: Emergence of molecular imaging, advances, and artificial intelligence applicability
Nwaiwu, Victor Chigbundu and Das, Sreemoy Kanti (2026) The road to precision medicine: Emergence of molecular imaging, advances, and artificial intelligence applicability. Smart Wearable Technology. ISSN 3122-7570
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Nwaiwu V 2026 SWT Full Article OA.pdf - Published Version Available under License Creative Commons Attribution. Download (2MB) |
Abstract
Precision medicine represents a paradigm shift from empirical medicine in healthcare, moving away from the traditional “one-size-fits-all” model toward a more individualized approach tailored to each patient’s unique genetic, molecular, and environmental profile. Technological evolution in medical imaging en route to molecular imaging marks the dawn of a new era, from just seeing anatomy to visualizing the underlying cellular and molecular processes in living organisms, driven by advances in molecular biology, probe development, and imaging technology (positron emission tomography, single photon emission computed tomography, magnetic resonance imaging, computed tomography, ultrasound, optical, magnetic particle imaging, hybrid, microwave). Yet, this is only the beginning. Latest empirical evidence shows that artificial intelligence (AI) use promises even greater breakthroughs: faster discovery of next-generation radiopharmaceuticals, real-time treatment adaptation, and seamless integration of imaging with predictive analytics as well as wearable sensors, although with visible challenges that need to be addressed. The future looks positive, where AI-driven innovations will unlock deeper insights into disease, elevate individualized care, and redefine diagnostic-therapeutic frontiers.
| Item Type: | Article |
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| Keywords: | Precision medicine, Medical imaging, Molecular imaging, Artificial intelligence |
| Schools: | School of Health and Rehabilitation Sciences |
| Depositing User: | Jessica Tovey |
| Date Deposited: | 12 Jun 2026 11:49 |
| Last Modified: | 12 Jun 2026 11:49 |
| URI: | https://hsu.repository.guildhe.ac.uk/id/eprint/660 |
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