Author

M. K. Niazi

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Open access Oct 2026

Single-Cell Multiplex Immune Biomarker Prediction from Histopathology Across Cancer Types and Clinical Endpoints

Abstract Background The spatial organization of cellular lineages within the tumor microenvironment governs disease progression and therapeutic response, but multiplexed spatial profiling remains costly, technically complex, and tissue-destructive. Routine hematoxylin and eosin (H&E) histopathology is inexpensive and w...

Usman Afzaal, Usama Sajjad, A. Akbar et al. · Research Square · 0 citations

#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