Simulate adversarial patient interactions to test and grade healthcare AI agents for safety using automated, multi-turn conversations.

🧬 Accelerate tumor-type predictions with OncoInfer, a Flask-based AI service for precision oncology using genomic sequencing data.

Research & Python models for the 2026 GBM study. Features the "Mechanical-Immunological Axis" (FUS + mRNA vaccines), Kaplan-Meier survival analysis, and clinical decision algorithms for precision neuro-oncology.

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.

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.

👁️ Analyze eye movements to detect brain disorders, utilizing wearable sensors for better monitoring and understanding of neurological conditions.

cBioPortal for Cancer Genomics

Complete guide to AI in healthcare — medical imaging, surgical robotics, chemotherapy, EHR, agentic AI, drug discovery, diagnostics, mental health, wearables, and future automations

Cancer is calculable, geometric attractor framework. This is an OrganismCore derivative framework.

Using Protein Language Models to compute Variant Effect Predictions across population-scale populations.

Biological Knowledge Graph Representation Learning to highlight Predictive Power in Omics Data

Django-based platform for Multiple Myeloma research combining drug discovery tools, PKPD simulation, digital patient twins, and clinical decision support

Machine learning models (neural networks and XGBoost) for predicting relapse in stage III colorectal cancer. Code for Sturrock et al. (2026) bioRxiv.

MEGaNorm is a Python package for normative modeling on MEG and EEG data.

🧬 Dashboard for exploring reports from RNAsum, a comprehensive pipeline for analysis WGS and WTS-based cancer patient profiles

🩺 Multi-method ML diagnostic & prognostic classifier using ensemble learning (RF, SVM, XGBoost, KNN, MLP) with permutation testing, feature selection, and profile ranking

Precision Medicine MCP Platform: A set of bioinformatics servers + tools - production multiomics/genomics + spatial transcriptomics. Example and demo for ovarian cancer

Code to accompany the paper "ProteinNetworkSight: A User-Friendly Platform for Transforming Co-Expression Patterns into Actionable Therapeutic Insights Through Interactive Network Visualization"

An agentic AI pipeline for annotating genetic variants, linking them to disease evidence, and generating structured interpretation reports using biomedical APIs and LLM reasoning.

Generative AI-driven multi-agent system for biomarker interpretation integrating genomic databases, literature mining, and biological annotation.