GigaTIME: Multimodal AI generates virtual population for tumor microenvironment modeling (Cell)
-
Updated
Aug 7, 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).
Multimodal foundation model predicting transcriptome-wide virtual spatial transcriptomics from histology.
🐝 | From Data to Prognosis: Embedding Multimodal Oncology Data for Precision Medicine
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 python framework for creating image-guided cancer patient digital twins.
Using a Deep Learning CNN to detect acute lymphoblastic leukemia (ALL) from blood microscopy
scMalignantFinder is a Python package specially designed for analyzing cancer single-cell RNA-seq datasets to distinguish malignant cells from their normal counterparts.
Automated oncology treatment trend reporter for breast cancer and hematologic malignancies — scrapes clinical trials, medical trials, medical conferences, and AI-powered evidence via OpenEvidence, ESMO, OncDaily, OncLive. Generates weekly markdown reports in Traditional Chinese.
VMAT modulation complexity index calculator based on https://github.com/victorgabr/ApertureComplexity
Clinical oncology tumor board decision support system made by the Decider project.
Crossmapped phenotype ontologies for the oncology domain
Point of care system for AMPATH clinics
A 3D lesion segmentation method on whole-body PET images including automated quality control.
A benchmark of histopathology Foundation Models on multi-stain Immunohistochemistry immune datasets AIM-FM workshop @ NeurIPS 24
Profile README for Hsieh-Ting Lin (林協霆) — attending physician in medical oncology, building open-source medical, evidence-based-medicine, and AI/MCP tooling (Claude Code, R, TypeScript)
Code from my work as Radiation Physicist Assistant at Cookeville Regional Medical Center
🧠 | Multimodal Integration of Oncology Data System
Notes and procedures that I wrote as Radiation Physicist Assistant at Cookeville Regional Medical Center
To associate your repository with the oncology topic, visit your repo's landing page and select "manage topics."