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Comparative molecular life history of spontaneous canine and human gliomas. Amin et al. Cancer Cell 2020

Applying Machine Learning Ras, NF1, and TP53 Classifiers to PDX model gene expression

Pediatric Thyroid Cancer Explorer - A web application to explore PTC dataset

Self-supervised pretraining with CLInical COntext Multi-instance learning

Automated web scraper to collect and filter pediatric cancer datasets from ProteomeXchange.

Our mission is to help make cancer topics and information easier to understand by translating complex medical topics into clear, accurate, and family friendly explanations.

Immunogenomics of pediatric nervous system tumours

Multimodal immunogenomic biomarker analysis of tumours from pediatric patients enrolled to a phase 1-2 study of single-agent atezolizumab

Pediatric Segmentation Approaches via Adult Augmentations and Transfer Learning (MICCAI 2025)

Dynamics of peripheral T-cell repertoire in pediatric cancer patients over the course of chemoradiation

NCypher — honest, context-specific triage of non-coding regulatory variants in paediatric DMG. Built with Claude: Life Sciences (Researcher track).

MSc Thesis on benchmarking inferCNV, SCEVAN and Numbat

This project investigates uncertainty quantification (UQ) methods for machine learning models in medical prognosis, specifically focusing on pediatric brain cancer (glioblastoma and astrocytoma) survival prediction.