AI more accurately identifies patients with advanced lung cancer that respond to immunotherapy and helps doctors select treatments
Yale Cancer Center/Smilow Cancer HospitalTreatment planning for lung cancer can often be complex due to variations in assessing immune biomarkers. In a new study, Yale Cancer Center researchers at Yale School of Medicine used artificial intelligence (AI) tools and digital pathology to improve the accuracy of this process.