Clinical Neuro-Oncology Diagnostic Suite & Cranial MRI CADx Workstation (Tauri 2.0 + React 18 + PyTorch, N=2,800 Holdout Validation, 87.68% Multi-Class Acc)
OpenAI-compatible FastAPI server for German neurology and neuro-oncology audio transcription using Parakeet-MLX. Optimized for Apple Silicon M4
A PyTorch Tri-Model Feature Fusion pipeline (CNNs + Vision Transformers) for neuro-oncological MRI classification. Achieves 99.47% accuracy and zero false negatives in brain tumor detection, featuring a custom XAI thermal dashboard.
Comprehensive collection of notes, analysis reports, and projects from 2024 research trainings in neuro-oncology, neurotechnology, and biodiversity genomics.
Scoping review materials: tumor-associated brain frailty and perioperative brain injury in neuro-oncologic surgery
A comprehensive review of Grade IV cancer with a focus on glioblastoma, covering molecular biology, clinical features, treatments, resistance mechanisms, diet, lifestyle, and future directions.
Analysis code (by Dillon Corvino) for Giordano, Layer, Leonardelli et al. — CXCL12 inhibition (NOX-A12) plus radiotherapy in newly diagnosed glioblastoma (GLORIA phase I/II trial). Nature Communications 2024.
Predicting meningioma tumour grade (benign vs malignant) from MRI, comparing handcrafted radiomics vs FMCIB deep-learning features.
Comprehensive research on WHO grade 4 glioblastoma (GBM). Analyzes molecular pathogenesis, next-gen therapeutics (immunotherapy, nanomedicine), AI clinical decision support, caregiver burden, and socioeconomic disparities in oncology care.
A comprehensive analysis of glioblastoma, detailing WHO CNS5 molecular taxonomy, microenvironmental resistance, and emerging therapeutics like CAR-T, focused ultrasound, and nanomedicine.
Hand-labelled dataset (1,888 oncology trials) and model development for detecting neurocognitive outcome measurement. R + Python.
Tractography-based stochastic mathematical model of glioblastoma invasion
A research paper on glioblastoma covering molecular pathogenesis, diagnosis, clinical management, therapeutic resistance, emerging treatments, figures, tables, and declarations.
Integrated strategies for Grade 4 Glioblastoma by Samuelson G. Combining molecular genomics, LIFU-mediated BBB disruption, and GKI-based metabolic conditioning to extend survival. Includes 2026 WHO standards and GKI protocols.
Comprehensive review of glioblastoma multiforme (GBM), a grade 4 brain cancer, covering subtypes, symptoms, treatments, causes, and lifestyle interventions. Includes full paper, references, and appendices for researchers and clinicians.
FAIR single-cell RNA-seq pipeline mapping nerve–tumour–immune ligand–receptor crosstalk in glioblastoma across 170 donors (CELLxGENE Census, two sequencing-depth arms). Compartment integrity enforced as build gates against a held-out annotation. Snakemake + scvi-tools + scanpy + LIANA + marimo.
A comprehensive multidisciplinary review by Samuelson G. exploring Glioblastoma (GBM) pathobiology, metabolic starvation strategies, novel immuno-oncology therapeutics, adaptive clinical trials, and medical ethics.
Objective neurocognitive endpoints in 289 randomized glioblastoma/HGG trials. Reproducible R pipeline, Firth penalized regression, publication figures and manuscript.
Nervous-system tumours across the animal kingdom, read as failure modes of one developmental switch.
An interactive, browser-based 3D atlas of craniospinal anatomy and neuro-oncological pathology | Open-source, built for neurosurgical teaching.
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