Daily Newsletter

21 November 2023

Daily Newsletter

21 November 2023

Roswell Park introduces new PanHeme blood cancer test

Agilent Technologies has received a licence for the commercial development of the blood cancer test.

RanjithKumar Dharma November 21 2023

US-based Roswell Park Comprehensive Cancer Center has introduced the new advanced, high-speed blood cancer test, PanHeme.

Leveraging next-generation gene sequencing technology, the new test will enable the diagnosis of blood cancers such as multiple myeloma, lymphoma and leukaemia.

The test can accurately detect gene mutations in hundreds of genes within 72 hours, a significant improvement from the current wait time of three to four weeks for molecular testing.

Recently, Agilent Technologies obtained a licence for the commercial development of this test.

The PanHeme panel covers all haematological malignancies and every mutation needed for diagnosing, treating and determining the prognosis for these patients.

Furthermore, the test screens the RNA and DNA of patients looking for insertions, deletions and fusions, as well as other variations and mutations in their genes and chromosomes.

Over the last 18 months, Roswell Park's haematologic oncologists have deployed the PanHeme test to assist in the clinical treatment of over 1,400 blood cancer patients, conducting the panel on approximately 50 to 60 blood samples each week.

Roswell Park Myeloma chief Jens Hillengass said that pinpointing the variations is important to guide treatment decisions for multiple myeloma and Waldenstrom’s macroglobulinemia patients.

Hillengass said: “This means we can use medications that are FDA-approved for other diseases but that attack the same mutation that can occur in myeloma—and those medications might work better than standard myeloma treatments.”

Can Generative AI transform the medical devices industry?

The healthcare, pharma, and medical devices industries are often risk-averse compared to other sectors when adopting new technologies. However, mainly due to COVID-19, these sectors have witnessed an acceleration in digital transformation, which has improved efficiencies and enhanced patient outcomes. AI can revolutionize the drug discovery process and significantly reduce the time and cost to get a drug to market, particularly in areas of unmet need. There is also huge potential for AI in medical diagnostics. However, using healthcare data for AI development raises data privacy concerns.

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