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Caris

Investigators reported that the classifier could correctly predict cancer type with over 94 percent accuracy and highlighted impacts in a commercially tested cohort.

The company hopes the data will help convince clinicians to adopt the algorithm in CRC as it pushes forward validations for other areas like pancreatic and ovarian tumors.

The consortium aims to harmonize the use of homologous recombination deficiency as a biomarker to guide certain treatment types in cancer patients.

The funds will support continued growth in precision oncology, new product development, and new initiatives in the clinical trial and biopharmaceutical markets.

Caris will use its suite of technologies to help Elevation Oncology enroll patients with NRG1 fusion-positive solid tumors to its Phase II trial of seribantumab.

Caris will sequence DNA and RNA for certain cancer patients and potentially help Merus enroll cancer patients with NRG1 fusions in the Phase I/II eNRGy trial for zenocutuzumab.

The tool, which has been validated in two independent patient cohorts, uses artificial intelligence to predict patients likely to benefit from upfront FOLFOX.

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The Wall Street Journal reports on gaps in COVID-19 testing affecting less affluent urban areas and rural locations.

According to NBC News, new SARS-CoV-2 variants are making it harder for researchers to model the course of the pandemic.

The New York Times reports that experts say President Joe Biden's goal of vaccinating 1 million people a day in the US in the next 100 days is too low a bar.

In Science this week: single-cell lineage tracing technique applied to study lung cancer metastasis, and more.