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

Feature Selection benchmark and analysis on multi-omics PDAC datasets

Single Cell Atlas - PDAC

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

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).

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