The current study provides a comprehensive insights into the PDAC metastatic biology.

🏆1st place in the PANORAMA challenge (early detection of PDAC on contrast-enhanced CT)

This is repo for the code used in (Carpenter, Elhossiny, Kadiyala et al, Cancer Discovery, 2023) paper from the Pasca lab

Resolving the GPRC5A prognostic paradox in PDAC: subtype stratification, treatment deconfounding, proteomics, AlphaFold2, ML (R) — manuscript in prep

Pancreatic Ductal Adenocarcinoma (PDAC) is highly aggressive and often diagnosed late. This project aims to identify reliable genomic biomarkers for PDAC by integrating a Next-Generation Sequencing (NGS) pipeline with advanced Machine Learning algorithms.

Single Cell Atlas - PDAC

Feature Selection benchmark and analysis on multi-omics PDAC datasets

Evaluating AlphaMissense pathogenicity scores for PDAC diagnostics and molecular subtyping, using TCGA-PAAD and 1000 Genomes data

This repository demonstrates an independent analysis of miRNA differential expression in Pancreatic Ductal Adenocarcinoma (PDAC), using publicly available datasets.

caner cell: Immune checkpoint HLA-E:CD94-NKG2A mediates evasion of circulating tumor cells from NK cell surveillance

Numerical simulation of the evolution of the pancreatic cancer and the axons regulation

Longitudinal CT survival-prediction framework for pancreatic ductal adenocarcinoma (PDAC) using a multimodal approach.

A leakage-free ML pipeline for early pancreatic cancer detection from CT scans — combining handcrafted radiomics (PyRadiomics, ComBat) with volumetric deep learning (3D ResNet-10, MONAI) and explainable AI (SHAP, Grad-CAM).

Please cite our paper: Bhyravbhatla N*, Alsafwani ZW*, Thapa I, et al. Targeting Oncomucin-driven Immunosuppression Improves the Efficacy of K-rasG12D Inhibition in Pancreatic Cancer. Gastroenterology. Published online May 25, 2026. doi:10.1053/j.gastro.2026.04.041