SITC 2023

SOPHiA GENETICS is excited to join the Society of Immunotherapy of Cancer annual meeting in person and online in San Diego, US. Join us at booth #635 November 3-5 to chat with our experts and experience the capabilities of the universal SOPHiA DDM™ Platform.

Mark your agenda on November 3rd at 12:15 p.m. for our satellite symposium:

“Multimodal data integration to advance personalized medicine in lung cancer: An overview of DLIV study”

Jeff Gaudet speaking at SITC 2023

Jeffrey Gaudet, PhD Medical Science Liaison SOPHiA GENETICS

Wallace Akerley speaking at SITC 2023

Wallace L. Akerley, MD Medical Oncologist Huntsman Cancer Institute - University of Utah Hospital

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Over the last 20 years, targeted compounds have been proven effective for non-small cell lung cancer (NSCLC patients), but recent scientific breakthroughs have made immunotherapies a new pillar of cancer care. These recent advances, coupled with the avalanche of health data, have made it hard for medical professionals to identify the patient sub-groups that will benefit the most from immunotherapy, alone or in combination with chemotherapy, without experiencing significant side effects. 

By using deep learning and artificial intelligence frameworks to integrate multiple biomarkers, SOPHiA GENETICS’ DEEP-Lung-IV study (NCT04994795) aims to improve the accuracy of prognosis and first-line treatment planning. Join us to discover how this study is helping medical researchers integrate different health data modalities in a meaningful way, breaking through data silos and expanding the power and reach of collective intelligence in healthcare.

As one of the Principal Investigators of the DEEP-Lung-IV Study (NCT04994795), Dr. Akerley will share his perspective on lung cancer care and his long-term vision for multimodal data integration in clinical routine.

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About DEEP-Lung-IV

DEEP-Lung-IV is a multicentric observational study leveraging the power of machine learning to integrate different data modalities and understand the prognosis and treatment responses of patients diagnosed with stage IV non-small cell lung cancer. 

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Event Date

November 1, 2023 – November 5, 2023

Event Type


Event Location

San Diego, US

Areas of Interest

Oncology, Multimodal Analytics, Machine Learning

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