How GenomOncology Uses AI to Transform Clinical Trial Matching

5 Views

  • Thanks! Share it with your friends!

    You disliked this video. Thanks for the feedback!

admin
Published
The full article for this interview is available on Oncology Data Advisor. Check it out here!

0:00 Introduction
1:18 Clinical Trial Matching
4:48 Challenges in Implementation
7:00 Large Language Models & AI
9:40 Access to Clinical Trials
13:20 Exciting Developments

In this episode of the Exploring AI in Oncology podcast, Waqas Haque, MD, MPH, speaks with Ian Maurer, Chief Technology Officer at GenomOncology, about how their precision oncology platform is transforming clinical trial matching and improving outcomes for patients and providers. Using a knowledge graph, the platform codifies oncology data to match patients to trials more efficiently, reducing false positives and increasing enrollment rates.

GenomOncology integrates AI technologies like symbolic AI, large language models (LLMs), and natural language processing (NLP) to process complex data, including unstructured patient records. Partnerships with organizations like the Pancreatic Cancer Action Network and Meditech have demonstrated significant success, including a 300% increase in biomarker-driven trial matching.

Looking ahead, Ian Maurer highlights the potential of AI advancements, such as conversational LLMs, to simplify trial selection and empower providers to manage the growing complexity of oncology data. GenomOncology’s innovative approach is paving the way for better trial access and improved patient outcomes in precision medicine.

#OncologyDataAdvisor #ExploringAIinOncology #PrecisionOncology #ClinicalTrials #ArtificialIntelligence #GenomOncology #AIinHealthcare #OncologyInnovation #CancerResearch #HealthcareTechnology
Category
Oncology
Be the first to comment

Up Next