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Author

Srinivasan Vijayakumar

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2 papers indexed here

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Review Sep 2026

Abstract A141: Precision population cancer medicine for pancreatic ductal adenocarcinoma: A framework integrating genomics, artificial intelligence, theranostics, and population health

Pancreatic ductal adenocarcinoma (PDAC) remains among the deadliest malignancies, with a 5-year survival rate of approximately 13%. Advances in genomics, artificial intelligence (AI), liquid biopsy, and theranostics have expanded opportunities for precision oncology; however, implementation remains uneven across...

Melissa Heard, Madison Jones, Srinivasan Vijayakumar · 0 citations
Open access Jul 2026

A prospective development and evaluation of a 2D convolutional neural network-based auto-segmentation model for cervical cancer radiotherapy

Accurate delineation of target volumes and organs at risk (OAR) is essential in radiotherapy planning for cervical cancer. Deep learning (DL)-based auto-segmentation has the potential to improve contouring efficiency and workflow. This study reports the prospective development and internal validation of a DL-based auto...

S. Menon, Mahak Gupta, Aakriti Bhardwaj et al. · 0 citations

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