GigaTIME: Multimodal AI generates virtual population for tumor microenvironment modeling (Cell)
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Updated
Apr 20, 2026 - Jupyter Notebook
GigaTIME: Multimodal AI generates virtual population for tumor microenvironment modeling (Cell)
Evaluation framework for oncology foundation models (FMs)
a cutting-edge cell segmentation model specifically designed for single-molecule resolved spatial omics datasets. It addresses the challenge of accurately segmenting individual cells in complex imaging datasets, leveraging a unique approach based on graph neural networks (GNNs).
🐝 | From Data to Prognosis: Embedding Multimodal Oncology Data for Precision Medicine
Using a Deep Learning CNN to detect acute lymphoblastic leukemia (ALL) from blood microscopy
A python framework for creating image-guided cancer patient digital twins.
scMalignantFinder is a Python package specially designed for analyzing cancer single-cell RNA-seq datasets to distinguish malignant cells from their normal counterparts.
VMAT modulation complexity index calculator based on https://github.com/victorgabr/ApertureComplexity
Point of care system for AMPATH clinics
Crossmapped phenotype ontologies for the oncology domain
Clinical oncology tumor board decision support system made by the Decider project.
Tula is an open-source collection of OpenClaw skills, configurations, and patterns designed to transform a general-purpose AI agent into a personal health intelligence assistant.
A 3D lesion segmentation method on whole-body PET images including automated quality control.
Code from my work as Radiation Physicist Assistant at Cookeville Regional Medical Center
Notes and procedures that I wrote as Radiation Physicist Assistant at Cookeville Regional Medical Center
Clonal reconstruction from HTS data
A benchmark of histopathology Foundation Models on multi-stain Immunohistochemistry immune datasets AIM-FM workshop @ NeurIPS 24
Personalized Network-based Anti-Cancer Therapy Appointment
Optimized pipelines for Spatial Transcriptomics (ST) data analysis using Seurat & Giotto, designed for reproducible benchmarking and biological insight.
🧠 | Multimodal Integration of Oncology Data System
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