neoag
Neoantigen × AI
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№49Brief2026-07-31

IBM and Cleveland Clinic unveil Q-CHIPP quantum neoantigen prediction

Two methodological advances address the critical bottleneck of neoantigen prediction: IBM and Cleveland Clinic introduce Q-CHIPP, a quantum machine learning framework that outperforms classical methods in data-limited scenarios, while NeoAPP leverages tumor-specific transcripts to uncover a shared neoantigen reservoir in pancreatic cancer.Medical XpressPubMed

2new stories
AI / MethodsyesterdayNew

Harnessing Tumor-Specific Transcript Diversity Uncovers a Shared Neoantigen Reservoir for Pancreatic Ductal Adenocarcinoma.

Researchers developed NeoAPP, a computational tool identifying neoantigens from tumor-specific transcripts (TSTs) rather than just DNA mutations. Applied to 413 PDAC samples, it found a median of 351 neoantigens per sample, significantly exceeding mutation-derived counts. Preclinical data shows these neoTSTs induce CD8+ T cell responses and suppress tumor growth in mouse models, with some detectable in plasma as potential biomarkers.

Shared & off-the-shelfPancreatic cancer
europepmc · yesterday · Zhao J, Li Q, Lin P, Yang Y, Yu H, Wen Y, Yu W, He H, Tao S, Zhang F, Li Y, Hu Z, Xie J, C

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AI / MethodsyesterdayNew

A quantum machine learning framework to predict neoantigen immune response - Medical Xpress

IBM and Cleveland Clinic have published Q-CHIPP in Science Advances, a quantum machine learning framework combining antigen presentation and immunotherapy response prediction. The model outperforms classical computing methods by improving accuracy under data-limited conditions, addressing the challenge of identifying which of thousands of potential neoantigens will actually trigger an immune response.

news · +1 more · yesterday · Medical Xpress

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