SymBioSys is at the forefront of redefining precision medicine through its innovative visualization and diagnostic technologies aimed at enhancing patient care and cancer treatment. The company addresses the complexities of tumor heterogeneity by employing a comprehensive approach that goes beyond traditional biopsies and 2D pathology slides. By utilizing artificial intelligence, SymBioSys automatically segments tumors and surrounding tissues to create detailed 3D models. This integration of spatial biophysics captures the intricate physics, chemistry, and biology of tumors at both tissue and cellular levels, allowing for the development of digital twins that provide critical insights into tumor behavior and treatment responses.

The company's flagship products, TumorSight Viz and TumorSight CDS, exemplify its commitment to improving surgical planning and patient outcomes. TumorSight Viz transforms 2D DCE MRIs into interactive 3D representations, enabling surgeons to make informed decisions regarding tumor volume and proximity to anatomical features. Additionally, TumorSight CDS enhances this capability by converting images from the prone to the supine position, further aiding in surgical preparation. Through a robust pipeline of solutions, including TumorSight IQ and TumorSight Risk, SymBioSys leverages data science to create predictive models that estimate long-term outcomes and recurrence risks, ultimately striving to revolutionize cancer treatment across various solid tumors.

United States

SimBioSys is a pioneering TechBio company leveraging artificial intelligence and biophysical modeling to harness the power of spatial biophysics to redefine precision medicine, transform patient care and defeat cancer. By seeing cancer more completely, SimBioSys aims to empower clinicians and researchers with a more informed understanding of a patient’s tumor to optimally assess all available options and deliver on the promise of truly individualized patient care. 

To learn more, visit us at https://www.simbiosys.com/.  

SymBioSys

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