Harnessing digital twin, AI, and nanotechnology for advancing oral cancer care: A paradigm shift toward personalized precision medicine

Oral cancer continues to pose significant challenges in diagnosis, treatment, and management, necessitating innovative approaches for improved patient care. This abstract explores the integration of digital twin (DT) technology, artificial intelligence (AI), and nanotechnology in oral cancer care to enhance early detection, personalized treatment strategies, and monitoring of treatment response. DT technology offers a virtual replica of biological systems, enabling real-time monitoring and simulation of disease progression. Leveraging advanced computational algorithms and patient-specific data, DTs facilitate the prediction of tumor behavior and response to treatment modalities. By integrating multiomics data, imaging modalities, and clinical parameters, DTs enable personalized modeling of oral cancer progression, aiding in treatment planning and prognosis assessment. Furthermore, AI algorithms play a pivotal role in analyzing complex datasets generated from DTs and clinical records. Machine learning techniques, such as deep learning and neural networks, enable the extraction of meaningful insights from diverse data sources, thereby facilitating early detection of oral cancer lesions, classification of histopathological features, and prediction of treatment outcomes. AI-driven decision support systems empower clinicians with evidence-based recommendations for optimal patient management, thereby fostering precision medicine approaches in oral cancer care. In tandem with DT and AI technologies, nanotechnology offers promising avenues for targeted drug delivery, imaging, and theranostics in oral cancer treatment. Nanosized drug carriers, such as liposomes, nanoparticles, and dendrimers, enhance the bioavailability and specificity of anticancer agents, thereby minimizing off-target effects and systemic toxicity. The convergence of DT, AI, and nanotechnology holds immense potential to revolutionize oral cancer care by enabling early detection, personalized treatment strategies, and precise monitoring of disease progression. Collaborative efforts between clinicians, researchers, and technologists are essential to harness the full capabilities of these innovative approaches for improved patient outcomes in oral cancer management.