Advances in Precision Oncology for Thyroid Carcinoma: Integrating Artificial Intelligence, Genomics and Molecular Diagnostics

Dear Colleagues,

Thyroid carcinoma, particularly differentiated thyroid carcinoma (DTC), has become increasingly prevalent, with diverse clinical behaviors ranging from indolent nodules to aggressive, treatment-resistant variants. As traditional risk stratification approaches face limitations in capturing the underlying tumor biology, there is a growing need for precision medicine frameworks incorporating genomic, radiologic, and molecular data.

This Special Issue will explore recent advances in artificial intelligence (AI), next-generation sequencing (NGS), and multi-omics diagnostics which are transforming the landscape of thyroid cancer diagnosis, prognostication, and management.

Additionally, contributions to this issue will highlight the role of genomic profiling—such as for BRAF V600E, TERT promoter mutations, and RET/PTC rearrangements—in guiding targeted therapy and patient-specific management. Innovative approaches using single-cell transcriptomics, digital pathology, and machine learning-based integrative models will also be featured, emphasizing the importance of a multi-modal approach in endocrine oncology.

By bringing together interdisciplinary insights from surgery, oncology, pathology, bioinformatics, and molecular diagnostics, this Special Issue will offer a comprehensive view of the future of personalized care in thyroid cancer and establish a platform for collaborative innovation in surgical precision oncology.

Dr. Kyoung Sik Park
Guest Editor

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