05/09/2021
Clinical recovery from surgery correlates with single-cell immune signatures. Science Translational, 2014.
Our efforts to improve surgical recovery started in the early 2010s when Dr. Brice Gaudilliere, MD, PhD, a board-certified anesthesiologist at Stanford School of Medicine, noticed significant variabilities in how quickly different patients recovered after the same surgery. He and his group studied differences in immunological reactions after surgery to identify trajectories of recovery that differed between patients undergoing standard total hip replacement surgery using a novel technique, mass cytometry or Cytometry by Time of Flight (CyTOF). Since then, his group has applied similar principles to identify "fingerprints" that differentiate prolonged from rapid recovery courses.
These "fingerprints" of recovery could be identified prior to surgery, thus lending itself to the concept of predicting surgery recovery, the very concept our company is founded upon. Combining simple blood draws and advanced algorithms developed by Julien Hedou, a data scientist at Stanford University, identifying patients who would benefit from prehabilitation, aka a bootcamp to prepare at-risk patients for surgery, has become feasible.
Read the paper that spearheaded our goals to prevent post-operative complications and improve recovery after surgery here: https://stm.sciencemag.org/content/6/255/255ra131
