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K. Lim, Z. Tippu, P.G. Corrie, M. Hubank, J. Larkin, T. Lawley, Mark Stares, Grant D. Stewart, Amy Strange, Stefan N Symeonides, Bernadett E Szabados, Nicholas C Turner, T. Waddell, S. Zelenay, M. Salto-Tellez, C. Dive, S. Turajlic
0 2. 5. 2025.

MANIFEST: Multiomic Platform for Cancer Immunotherapy.

Immunotherapy has revolutionized survival outcomes for many patients diagnosed with cancer. However, biomarkers that can reliably distinguish treatment responders from nonresponders, predict potential life-threatening and life-changing drug-induced toxicities, or rationalize treatment choices are still lacking. In response to this unmet clinical need, we introduce Multiomic ANalysis of Immunotherapy Features Evidencing Success and Toxicity, a tumor type-agnostic platform to provide deep profiling of patients receiving immunotherapy that will enable integrative identification of biomarkers and discovery of novel targets using artificial intelligence and machine learning.


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