Author

A. Grinshpun

3 papers indexed here

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#artificial intelligence Review Oct 2026

Transcriptome-informed multi-modal AI for predicting neoadjuvant therapy response from breast cancer biopsies

Scarcity of labeled data limits development of deep learning biomarkers in oncology. We develop a two-stage AI model predicting pathological complete response (pCR) to neoadjuvant therapy in breast cancer. The first stage learns the transcriptome from histopathology using 8,742 patients across 32 cancer types, corrobor...

Jungkyu Park, D. Biswas, J. Cappadona et al. · 0 citations

Open access Oct 2026

Plasma nucleosome profiling reports on tumor burden and molecular subtypes in small cell lung cancer

BACKGROUND Small-cell lung cancer (SCLC) is an aggressive malignancy with a poor prognosis and marked transcriptional heterogeneity that may drive distinct therapeutic vulnerabilities. Clinical translation of molecular subtyping has been limited by restricted access to tumor biopsies, particularly at relapse. METHODS W...

Gavriel Fialkoff, N. Takahashi, Israa Sharkia et al. · Journal of Clinical Investig... · 0 citations

Open access Aug 2026

Genomic subtypes inferred from clinical sequencing provide significant prognostic stratification in metastatic breast cancer

Purpose. The 11 Integrative Cluster (IntClust) genomic subtypes of breast cancer have both prognostic and predictive value but require integrated DNA copy-number and gene expression profiling, which are not routinely used in clinical care. We tested whether IntClust could be inferred from clinical DNA targeted gene pan...

A. Yaacov, A. Grinshpun, P. Pharoah et al. · medRxiv · 0 citations