6.36B Parameter Cancer Genomics Transformer
Precision Cancer Therapy
with Artificial Intelligence
Quark predicts drug response from genomic mutations using a 6.36B parameter transformer trained on 8× A100 GPUs — paired with a deterministic physics engine, digital patient twins, and GPT-5.2 clinical reasoning.
6.36B
Model Parameters
8×A100
Training GPUs (80 GB)
<1s
Inference Latency
Hybrid
ML + Physics Engine
Platform Capabilities
Digital Patient Twins
Comprehensive genomic, proteomic, and imaging integration for personalized treatment modeling.
GPT-Powered Reasoning
Advanced AI decision-making for therapy recommendations and treatment optimization.
3D Drug Simulation
Visualize and simulate chemotherapy treatments at molecular level before administration.
CAR-T Cell Designer
Multi-antigen targeting with AI-optimized immune cell engineering protocols.
CRISPR Protocol Generator
AI-designed therapeutic gene editing protocols for precision oncology.
Clinical Integration
FHIR/DICOM compliance with EHR connectivity for seamless hospital deployment.
Technology Stack
PyTorch FSDPAzure ML (8× A100)Next.js 15 / React 19FastAPIGPT-5.2CUDA 12.6WebGL 3DTypeScript