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Home HEALTH Freenome, in Collaboration with Oracle Cerner Network, Launches Multi-omics Oncology Study

Freenome, in Collaboration with Oracle Cerner Network, Launches Multi-omics Oncology Study

Freenome announced Tuesday the launch of its new Sanderson Study, which will use its multi-omics platform, in combination with real-world data, some derived from Oracle Cerner’s Learning Health Network, to improve the detection and treatment of various types of cancer.

San Francisco-based Freenome’s multi-omics platform may enable early detection of cancer using a standard blood draw. The company specializes in advanced computational biology and uses machine learning to detect patterns among billions of circulating cell-free biomarkers.

The study will use traditional and real-world data to generate clinical validation evidence for certain high- and high-risk populations, Freenome says, while also refining the platform’s oncology classification and risk prediction models.

The goal of the Sanderson Study is to build an infrastructure that can bridge the gap between clinical research and everyday clinical impact, according to Freenome.

The company is developing a broader screening approach for oncology that assesses individual patient risk. Freenome’s multi-omics platform combines tumor and non-tumor signals with machine learning to detect cancer at its earliest stages.

Freenome clinical trials are named after loved ones of employees who battled cancer; the Sanderson Study honors Tim Sanderson, the father of a Freenome engineer. It will enroll approximately 8,000 patients through Freenome’s network of clinical trial partners and numerous regional health systems across the United States.

It will focus on cancers with significant unmet needs, such as pancreatic and lung cancer.

Oracle Cerner’s Learning Health Network, which comprises 90 diverse health systems across the country that contribute de-identified clinical trial data, will be a key partner.

Additionally, Elligo Health Research will collaborate with LHN members, the company says, using existing health data to identify and enroll patients much faster than traditional recruitment models.

Cerner first announced its work with Elligo and Freenome in the Sanderson Study last May. “Our long-term goal is to bring multi-cancer products into clinical practice to save more lives,” Freenome co-founder Riley Ennis said at the time. .

In collaboration with the Duke Clinical Research Institute, Cerner launched the Learning Health Network in 2019 with the goal of automating the collection of data from multiple sources, including electronic health records.

The goal is to enable clinicians to more easily and efficiently obtain health information and guide care to give medical researchers quicker and easier access to data that can help them innovate new approaches to health.

In October 2021, the company announced the creation of Cerner Enviza, an operating unit focused on developing new approaches to data management for life sciences research and the development of new treatments and therapies.

“Earlier detection of cancer with more convenient screening tests will expand available treatments with better outcomes for patients,” said Christy Dueck, vice president of Cerner Enviza. “Oracle Cerner is delighted to work with Freenome to help expedite the learning process, from hospital and health system readiness to patient engagement and identification. The Learning Health Network acts as an accelerator in addressing the current challenge of the shortage at sites in the traditional clinical trial model by creating a large pool of patients who are already actively engaged in care.”

“We are incorporating real-world data with a precision health mindset over clinical actionability,” Dr. Lance Baldo, Freenome’s chief medical officer, said in a statement. “Our goal is to identify the right patient for the right screening tests at the right time, with clear next steps. We believe this approach will ultimately save more lives.”

Twitter: @MikeMiliardHITN
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Healthcare IT News is published by HIMSS.


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