Author

M. K. Niazi

2 papers indexed here

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#artificial intelligence Preprint Oct 2026

Morphology-aware deep learning predicts colorectal cancer survival from whole-slide images

Background: Five-year survival prediction from hematoxylin-and-eosin whole-slide images could support risk stratification, but the task is weakly supervised, and the tissue morphologies carrying prognostic information remain incompletely characterized. Methods: We conducted a retrospective secondary analysis using TCGA...

Hikmat Khan, M. Gurcan, Anil Parwani et al. · 0 citations

#protein folding Open access Oct 2026

Gene-structured histology for deriving and predicting pancreatic cancer molecular subtypes

into basal-like and classical states is a critical prognostic determinant, yet clinical implementation remains limited by the cost and turnaround time of transcriptomic sequencing. 1 – 3 Although routine histopathology captures rich morphological features, deep learning models often lack a principled connection to gene...

Alejandro Leyva, Abdul Rehman Akbar, M. K. Niazi · Signal Transduction and Targ... · 0 citations