The current study provides a comprehensive insights into the PDAC metastatic biology.
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Updated
Aug 30, 2026 - HTML
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.
Integrative transcriptomic profiling to identify molecular signatures driving PNI in PDAC using the GSE102238 dataset.
Validated computational drug-discovery pipeline for KRAS in pancreatic ductal adenocarcinoma (PDAC). Four validated targets (G12C/G12D/G12V/G12R), 518,662 gated compounds, three virtual screens, MM-GBSA rescoring, and a self-audit of a generative campaign whose molecules could not be synthesised. All negative results released.
Feature Selection benchmark and analysis on multi-omics PDAC datasets
In-silico agent-based framework for coexistence-control of pancreatic cancer (PDAC) via food-medicine-homology compounds
Numerical simulation of the evolution of the pancreatic cancer and the axons regulation
Bioinformatics workflow for stromal ion channel analysis in pancreatic ductal adenocarcinoma using single-cell, bulk RNA-seq, and spatial transcriptomics data.
Pipeline Multimodal Federado para PDAC Implementação prática
Evaluating AlphaMissense pathogenicity scores for PDAC diagnostics and molecular subtyping, using TCGA-PAAD and 1000 Genomes data
Cell-resolved Xenium analysis of ion-channel expression and stromal cell states in treated pancreatic ductal adenocarcinoma
caner cell: Immune checkpoint HLA-E:CD94-NKG2A mediates evasion of circulating tumor cells from NK cell surveillance
Automated segmentation of pre-cancerous PanIN lesions from confocal microscopy stacks — Python pipeline using random-forest + morphological classification, validated with Dice, IoU, and Cohen's kappa.
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
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