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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

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

Self-supervised pretraining with CLInical COntext Multi-instance learning

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

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

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

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.