The multi-year research agreement focuses on MRI, CT, ultrasound, and PET/CT technologies to support precision medicine.
Bracco Imaging and NYU Langone Health have signed a multi-year master research agreement to advance innovation in medical imaging. The alliance aims to accelerate the development and optimization of advanced imaging technologies to enhance clinical insights and patient management.
The partnership focuses on several areas of diagnostic imaging, including magnetic resonance imaging (MRI), photon-counting computed tomography, targeted ultrasound, and artificial intelligence-enabled positron emission tomography/computed tomography, and MRI image analysis. Through this collaboration, both parties intend to support the advancement of precision medicine and enable more informed and timelier clinical decision-making.
“The agreement reflects a shared commitment between the Bracco Group and NYU Langone Health to advance research and clinical innovation in medical imaging,” says Fulvio Renoldi Bracco, vice chairman and CEO of Bracco Imaging, in a release. “By combining our respective strengths, we aim to further enhance diagnostic performance, streamline clinical workflows, and ultimately generate meaningful impact for patients and healthcare systems.”
The agreement is designed to foster closer interaction between research and clinical practice, facilitating the translation of scientific discoveries into healthcare applications. Joint research activities will leverage the clinical and academic resources of NYU Langone Health alongside Bracco’s experience in contrast imaging and diagnostic solutions.
“Diagnostic imaging is advancing at a remarkable pace, and strategic collaborations are essential to progress,” says Michael P. Recht, MD, chair of the Department of Radiology at NYU Grossman School of Medicine, in a release. “We are excited to build on NYU Langone Health’s legacy of advances and to work with The Bracco Group toward breakthroughs in modalities central to precision medicine in terms of superior diagnostic accuracy and enhanced clinical decision-making.”
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