Artificial intelligence (AI) software developer Sophia Genetics plans to highlight results from its multimodal DEEP-Lung-IV clinical study at the 2022 American Society of Clinical Oncology (ASCO) annual meeting in Chicago.
The study is testing the company's Sophia DDM platform for assessing the response of lung cancer patients to immunotherapy through tracking multimodal signatures. Sophia DDM offers data visualization, cohorting, and predictive tools, the company said. The study includes 19 sites in seven countries; to date, 500 patients have been recruited to participate.
The company has also inked an agreement with GE Healthcare to use that firm's Imaging Fabric Core and Imaging Fabric Annotation template, both of which are part of GE's Edison Digital Health platform. Sophia will use GE's Imaging Fabric services in the DEEP-Lung-IV study for medical imaging and annotation, it said.
![Axial images from unenhanced calcium score cardiac CT (left) and curved planar reformation images from CT angiography (right) show that higher long-term exposure to air pollution is associated with greater coronary artery calcium and more obstructive coronary artery disease (CAD). Top row: Images in a 68-year-old male patient with higher 10-year mean ambient air pollution exposure (7.9 μg/m3 for particulate matter measuring ≤2.5 μm in diameter [PM2.5] and 17.4 parts per billion [ppb] for NO2) with extensive CAD (coronary artery calcium score [CACS] >1,000 and obstructive CAD [≥70% diameter stenosis]). Bottom row: Images in a 57-year-old female patient with lower 10-year mean ambient air pollution exposure (6.3 μg/m3 for PM2.5 and 4.6 ppb for NO2) with no CAD (CACS = 0 and no obstructive stenosis).](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/hanneman.r6SMLzkezo.png?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
