Oncology

Use AI to improve early cancer detection, personalize treatments, and enhance patient outcomes

Business impact

• Diagnostic accuracy — AI improves detection precision, reducing false positives and negatives in cancer diagnosis
• Treatment effectiveness — Personalized therapies increase success rates and reduce adverse side effects
• Patient outcomes — Earlier detection and targeted treatment improve survival rates and quality of life
• Operational efficiency — Automated workflows and AI insights streamline oncology care delivery and resource use
• Research productivity — AI accelerates biomarker discovery and clinical trial matching for faster innovation

Data requirements

• Medical imaging (MRI, CT, mammography) (Image) — Used for tumor detection, staging, and monitoring treatment response
• Genomic and multi-omic data (Structured) — Supports biomarker identification and precision medicine approaches
• Electronic health records (EHR) (Text) — Provides clinical history, lab results, and treatment data for AI analysis
• Blood-based biomarkers and cfDNA (Numeric) — Enables non-invasive cancer detection and monitoring through liquid biopsies
• Pathology and radiology reports (Text) — Extracts diagnostic and prognostic information using NLP techniques

AI methods and techniques

• Predictive AI — Forecasts cancer risk, progression, and treatment response from patient data
• Generative AI — Designs novel drug candidates and simulates treatment outcomes
• Symbolic AI — Interprets clinical guidelines and supports explainable decision-making

AI models and model families

GPT-4o, Claude, Llama, PaLM, Custom deep learning models for imaging and genomics

Industries

Real-world evidence

19 documented case studies on record.

Companies using this: Bio NTech, C Signs, CRISPR Therapeutics AG, DELFI Diagnostics, Delfi Diagnostics, Epic, Health Care Global Enterprises Limited, Johns Hopkins University, Korea Institute Materials Science KIMS, Massachusetts Institute Technology MIT, Microsoft, Model Medicines, National Cancer Institute, Philips, RadNet and 4 more.