AI tool successfully predicts outcomes of immunotherapy in lung cancer

Artificial intelligence (AI) tools can help physicians predict treatment and survival outcomes in patients with advanced non-small cell lung cancer (NSCLC) treated with immunotherapy, according to a new study published in Nature Medicine. The study reported findings from the I3LUNG project, a large international trial aimed at improving the treatment of metastatic NSCLC by developing AI-based predictive models that can help determine the best therapeutic approach for each individual.

Immunotherapy—a cancer treatment that boosts and uses the power of the patient’s immune system against cancer cells—has transformed lung cancer treatment, achieving long-term benefit in 20% to 30% of patients. However, most patients experience resistance to treatment, and physicians still cannot reliably predict which patients will benefit from immunotherapy. Today, treatment decisions rely heavily on the expression of PD-L1—a biomarker with well-known limitations.

“We need smarter tools,” said thoracic oncologist Marina Garassino, MD, professor of medicine at UChicago Medicine and senior author of the study.

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