Partnership with Neosoma enables faster, more precise tumor assessment in glioblastoma research
NOTTINGHAM, England and MORRISVILLE, N.C., Nov. 17, 2022 /PRNewswire/ — Calyx, the eClinical and Regulatory solutions and services provider relied on for solving complex data challenges in clinical research, today announced a strategic partnership with Neosoma, Inc., an innovative medical technology company focused on advancing brain cancer treatment. Through this partnership, Calyx Medical Imaging extends Neosoma HGG (High-Grade Glioma), a novel AI-based neuro-oncology software device to its worldwide customers who are developing treatments for glioblastoma, the most common and challenging, malignant primary brain cancer.
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“Neosoma’s expertise in AI imaging development nicely complements Calyx’s two decades of experience in clinical trial imaging and the insights we’ve gleaned from having successfully supported nearly 100 neuro-oncology clinical trials,” said Stephen Bravo, MD, Chief Medical Officer, Calyx. “We’re pleased to extend Neosoma’s innovation to clinical development and give our customers greater confidence that the important imaging data they depend on to evaluate their glioblastoma compounds’ effectiveness is accurate and reliable.”
Clinical trials of glioblastoma treatments are complex, largely because gliomas have highly irregular and infiltrating shapes that are difficult even for experienced neuro-radiologists to delineate. Volumetric tumor assessments – which are becoming commonly used as exploratory endpoints – currently need to be conducted manually by neuroradiologists, which presents a time-consuming and difficult challenge for glioma image analysis in clinical trials. Leveraging advanced artificial intelligence, Neosoma HGG has been shown to achieve 95.5% accuracy in tumor volume measurement as established by consensus reads, which exceeds that of individual neuro-radiology experts and can save time while generating consistent, automated volumetric assessments of tumor change.
“Calyx’s Medical Imaging team is widely recognized as the leader in clinical trial imaging, especially in oncology, where experience and deep therapeutic area expertise are critical,” said Aly Abayazeed, MD, Chief Medical Officer, and Co-founder, Neosoma. ‘We are delighted to provide faster and more precise assessment of high-grade gliomas to their customers to advance glioblastoma trials and ultimately bring improved treatment options to patients with this life-threatening disease.”
This partnership will extend to other AI-based solutions being developed by Neosoma and reflects Calyx’s strategy of partnering with best-in-class technology providers to offer innovative imaging biomarkers required to find new treatments for unmet medical needs.
For more information on Calyx Medical Imaging, visit Calyx.ai/Imaging.
About Calyx
Through innovative eClinical and Regulatory solutions and services, Calyx turns the uncertain into the reliable, helping bring new medical treatments to market reliably. With deep expertise in clinical development and 30 years supporting trial sponsors and clinical research organizations, Calyx harnesses its intelligence and experience to solve complex problems, deliver fast insights, and get new drugs to market every day.
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About Neosoma, Inc.
Neosoma Inc. is focused on advancing the treatment of brain cancers through an integrated portfolio of innovative, artificial intelligence-based technology products combined with a Clinical Management Software Platform. Neosoma’s comprehensive SaaS solution is first-of-its-kind technology in the neuro-oncology space, helping physicians to make better treatment decisions with the goal of improving clinical outcomes.
Starting with its initial software based medical device, Neosoma HGG, the company is developing a full suite of software technologies to become the global leader in the neuro-oncology software field.
For more information visit: www.neosomainc.com
Source: https://www.prnewswire.com/news-releases/calyx-medical-imaging-advances-neuro-oncology-treatment-development-through-ai-301681011.html