Author

Jia Luo

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#artificial intelligence Review Oct 2026

OpenMTB-Audit: Exposing Over-Refusal and Clinical Expert Perspectives in LLM-Based Molecular Tumor Board Safety Evaluation

Molecular tumor boards integrate genomic findings, clinical context, and therapeutic evidence to support precision oncology. As AI enters this workflow, a key safety challenge is distinguishing truly unsupported recommendations from evidence-supported options that still require oncologist review because of incomplete i...

Negin Ashrafi, Jia Luo, Stacey M. Frumm et al. · 0 citations

Review Sep 2026

Targeting KRAS-Mutant Lung Cancers.

KRAS mutations are the most common oncogenic driver alterations in non-small cell lung cancer (NSCLC) and define biologically heterogeneous diseases shaped by mutation subtype, co-mutation patterns, and immune contexture. Recent advances in structural and chemical biology have transformed KRAS from an undruggable targe...

E. Garbo, P. Scaparone, Hui Jing Hoe et al. · The Journal of the National... · 0 citations

Sep 2026

Cancers modulate processing and presentation of p53 neoantigens to evade T cell detection.

TP53 mutations occur early in malignant transformation as truncal events in tumor evolution and are therefore generally present in all descendant tumor cells, creating an immunological vulnerability. Here, we examined the immunogenicity and antigenicity of p53 neoantigens emerging from these truncal mutations. Comprehe...

Koji Haratani, Bruce R. Reinhold, J. Duke-Cohan et al. · Immunity · 0 citations