8533 Background: Response to first-line standard-of-care (SoC) chemo-immunotherapy (IO) for patients with NSCLC without targetable mutations is heterogeneous, highlighting the need for predictive biomarkers. GEMINI (NCT05236114) integrates real-world outcomes, whole exome sequencing (WES), single-cell spatial transcriptomics (SpTx), and AI-pathology to establish a benchmarking resource and patient-level digital twins, enabling back-translation into testable hypotheses. With >4 million cells f
GEMINI-NSCLC: Multiomics and single-cell spatial profiling to benchmark, back-translate, and build digital twins of IO response.
Vincent Perez·Christopher Gilbert·Tianyou Luo·M. Carey·Chi-Sing Ho·Patrick Doherty·Jorge Blando·Vincenzo Graziano·Victoria Muckerson·Rachel Duffy·Virginia Rhodes·Jonathan R. Dry·Vladimir Roudko·Doug Palmer·Fred R. Hirsch·Asrar Alahmadi·Amy L. Cummings·Christine M. Lovly·Jyoti D. Patel·Candice Gurbatri
