GE Healthcare and VUMC announce partnership to enable safer, more precise cancer immunotherapies

NewsGuard 100/100 Score

GE Healthcare and Vanderbilt University Medical Center (VUMC) today announced a five-year partnership to enable safer and more precise cancer immunotherapies. Multiple diagnostic tools will be developed to help predict both the efficacy of an immunotherapy treatment and its adverse effects for a specific patient before the therapy is administered. This would allow physicians to better target immunotherapies to the right patients and avoid potentially damaging, ineffective and costly courses of treatments.

Immunotherapies use the immune system to recognize and attack cancer cells and can be more effective than traditional treatments, but response rates are often low and side effects can be severe1. GE Healthcare and VUMC will retrospectively analyze and correlate the immunotherapy treatment response of thousands of VUMC cancer patients, with their anonymized demographic, genomic, tumor, cellular, proteomic and imaging data. They will then develop AI-powered apps that draw on this data to help physicians identify the most suitable treatment for each individual patient.

Simultaneously, GE Healthcare and VUMC will develop new positron-emission tomography (PET) imaging tracers, which together with the apps, will help physicians to stratify cancer patients for clinical trials. It currently takes an average of 12 years2 and costs almost $2bn3 to bring a drug to market. In many cases, inappropriate patients are recruited to participate in immunotherapy trials, incurring unnecessary expense and slowing down approvals of new therapies. It is hoped that the PET tracers will ultimately also be used to monitor the efficacy of immunotherapies in everyday practice.

"Immunotherapy offers tremendous promise but given the current unpredictability of some patients' reactions to treatments, it is also associated with increased morbidity and cost. This partnership provides the opportunity to leverage strengths of both of our organizations to further personalize cancer care by creating new tools that allow clinicians to more accurately predict how patients will respond to a specific therapy," said Jeff Balser, MD, PhD, President and Chief Executive Officer, Vanderbilt University Medical Center and Dean of the Vanderbilt University School of Medicine.

"GE Healthcare and Vanderbilt will combine their data science, genomic, imaging and cellular analysis capabilities to help improve clinical decision making. This partnership is a great example of the increasing convergence of the tools, technologies and data used by therapy innovators and healthcare providers," said Kieran Murphy, President and Chief Executive Officer, GE Healthcare.

GE Healthcare and the Vanderbilt-Ingram Cancer Center, a world-renowned stem cell transplant facility, will also collaborate on methods to improve productivity, efficiency and cost of stem cell transplant processing operations by automating processes, digitizing workflows, improving throughput and industrializing operations.

The first analytics application prototype will be available by the end of 2019 and the PET tracer proof-of-concept by the end of 2020.

Source: https://www.gehealthcare.com/

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
New blood test shows promise in early detection of ovarian cancer