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Integrated machine-learning framework to estimate homologous recombination deficiency

Grant US12584176B2 Kind: B2 Mar 24, 2026

Assignee

Tempus AI, Inc.

Inventors

Aarti Venkat, Jerod Parsons, Joshua SK Bell, Catherine Igartua, Yilin Zhang, Ameen Salahudeen, Verönica Sänchez Freire, Robert Tell

Abstract

Methods, systems, and software are provided for determining a homologous recombination pathway status of a cancer in a test subject, e.g., to improve cancer treatment predictions and outcomes. In some embodiments, classifiers using one or more of (i) a heterozygosity status for DNA damage repair genes in a cancerous tissue, (ii) a measure of the loss of heterozygosity across the genome of the cancerous tissue, (iii) a measure of variant alleles detected in a second plurality of DNA damage repair genes in the genome of the cancerous tissue, (iv) a measure of variant alleles detected in the second plurality of DNA damage repair genes in the genome of a non-cancerous tissue, and (v) tumor sample purity are provided.

CPC Classifications

C12Q 1/6886 G16B 50/30 G16B 40/00 G16B 20/00 G06F 17/18 G06N 3/02

Filing Date

2021-01-15

Application No.

17150615

Claims

25