Facilitating Patient Selection for Solid Tumour Therapy with Artificial Intelligence-Based Digital Pathology
Time: 12:00 pm
day: Conference Day 2
Details:
- Understanding how to fulfil compliance with regarding to patient management assay (for e.g., patient selection, patient monitoring for treatment decisions) and subsequent companion diagnostics (CDx) under different regional guidance
- Learn how an AI-powered digital pathology platform can provide a standardised, scalable, and reproducible method of characterising antigen positivity to support further patient selection in clinical study
- A Machine Learning-based model is poised to significantly enhance the success rate of pre-screening for clinical trials, leading to substantial savings in resources by minimising the need for unnecessary patient visits. This breakthrough has the potential to not only streamline the trial process but also improve patient experiences and outcomes
