News | Artificial Intelligence | July 07, 2021

Flywheel and HealthMyne Partner to Provide End-to-end Radiomic Data Management and Analysis

Combined technology solution to accelerate radiomics research and clinical trial outcomes

Flywheel, a leading cloud-scale informatics platform for medical research and collaboration, and HealthMyne, a pioneer in applied radiomics, announced today a partnership that will combine the companies’ technologies to accelerate radiomics research and advance clinical trials outcomes for life sciences and clinical research clients.

July 7, 2021 — Flywheel, a leading cloud-scale informatics platform for medical research and collaboration, and HealthMyne, a pioneer in applied radiomics, announced today a partnership that will combine the companies’ technologies to accelerate radiomics research and advance clinical trials outcomes for life sciences and clinical research clients.

Combining Flywheel’s comprehensive informatics platform with HealthMyne’s artificial-intelligence-enabled radiomics solutions provides an innovative approach for clinical trials and oncology research. The combined platform features an open, extensible architecture to facilitate the automation and streamlining of data curation, quantitative image analysis and radiomic computation.

Flywheel provides an end-to-end research workflow solution that helps life sciences, clinical and academic researchers transform productivity, curation, and collaboration with medical research data. HealthMyne’s solution performs radiomic analysis, which is the process of extracting and converting quantitative descriptors of tumor structure and lesion characteristics into mineable data, to support emerging therapy development and response assessment approaches.

Together, the combined technologies will enable life sciences companies and researchers to gain a deeper understanding of tumor or lesion response to a specific therapy, acquire new insights to enrich clinical trials and leverage novel data to better personalize treatments for the best patient outcomes.

“By combining medical imaging and genomics data on a single cloud-scalable platform, researchers can now enter uncharted territory in healthcare innovation - streamlined, enterprise-scale radiomics research. HealthMyne's innovative algorithms on Flywheel's platform will not only provide valuable insights in clinical trials but also accelerate the development of new discoveries in cancer research," said Jim Olson, CEO, Flywheel.

“Leveraging Flywheel’s bioinformatics platform coupled with HealthMyne’s ability to compute advanced imaging analytics and reveal radiomic insights further enhances the understanding of disease progression, treatment response and clinical trial outcomes,” said Rose Higgins, CEO, HealthMyne. “This partnership will enable our clients to fully realize the value of their imaging pipeline to help tackle complex diseases such as cancer.”

For more information: www.healthmyne.com

Related Content

Volpara Health, a global health technology software leader providing an integrated breast care platform for the delivery of personalized breast care, has signed an agreement with Invitae Corporation, a leader in medical genetics, to bring Invitae's genetic testing services to Volpara's customers in the United States. 
News | Breast Imaging | July 29, 2021
July 29, 2021 — Volpara Health, a global health technology software leader providing an...
Images, or a digital twin mitral valve of a patient, created from cardiac ultrasound that were used to perform a virtual surgical procedure to test how the intervention would impact the patient prior to actually performing the procedure. The right image shows color coding for sheer stresses on the valve leaflets before and after the virtual surgery. The left image shows the model quantitation of leaflet coaptation at peak systole prior to the the virtual surgery.

Images, or a digital twin mitral valve of a patient, created from cardiac ultrasound that were used to perform a virtual surgical procedure to test how the intervention would impact the patient prior to actually performing the procedure. The right image shows color coding for sheer stresses on the valve leaflets before and after the virtual surgery. The left image shows the model quantitation of leaflet coaptation at peak systole prior to the the virtual surgery. Read the original article in Plos One.

Feature | Ultrasound Imaging | July 28, 2021
Outside of medicine, computer-generated virtual twins of real machines like cars or airplanes have been used in engin
If you plan to attend HIMSS21 Aug. 9-13 in Las Vegas, be sure to note that due to health and safety updates, masks will now be required for attendees and exhibitors.

Getty Images

News | HIMSS | July 28, 2021
July 28, 2021 —If you plan to attend HIMSS21 Aug.
Researchers from the School of Biomedical Engineering & Imaging Sciences at King's College London have automated brain MRI image labeling, needed to teach machine learning image recognition models, by deriving important labels from radiology reports and accurately assigning them to the corresponding MRI examinations

Getty Images

News | Magnetic Resonance Imaging (MRI) | July 28, 2021
July 28, 2021 — Researchers from the School of Biomedical Engineering & Imaging Sciences at...
Videos | Artificial Intelligence | July 22, 2021
This is an overview of trends and technologies in radiology...
SurveyVitals, a leading patient experience analytics provider, announced it has joined forces with the Radiology Business Management Association (RBMA) to launch Postmarks, a real-time patient and partner feedback software solution
News | Patient Engagement | July 22, 2021
July 22, 2021 — SurveyVitals, a leading patient experie