TS-005500 — The Convex Apical Reducer for Spinal Deformity Correction is a novel surgical instrument designed to assist with posterior correction of spinal deformities. The Convex Apical Reducer applies direct force while also providing fulcrum for elongation and derotation during posterior deformity correction. The device will also include modular and adjustable options for length, angle, and derotation arm. This device provides professionals working in spinal corrections an instrument tailored for targeted convex apical manipulation.

TS-005498 — This new distraction technique uses a new surgical instrument designed to distribute distraction or compression forces across multiple pedicle screw anchors during spinal deformity correction, especially useful in posterior spinal growing rod surgery in the pediatric population. Previous techniques apply force through a single anchor, leading to potentially compromising fixation and implant failure. This new technique provides deformity correction and distraction via appropriately sized spacers that will sit on the rod and fit in between tulip heads. This technique will be most useful in deformity correction via concave distraction, particularly in growing rod insertion.

TS-005497 — This device for scoliosis correction is a pedicle screw-band combination with dynamic polyethylene-terephthalate bands for curve correction and control, especially useful in gaining apical control in early onset scoliosis at the time of Growing rod implantation. The new Pedicle Screw Band Device includes a modular head containing the eyelet and band, band crimp/lock device, and apical control in setting of traditional growing rods. This new device exists to combine the dynamic utility of bands with the spinal fixation of screws.

TS-004611 — This software tool annotates burns in existing medical records to accurately estimate %TBSA-burned and minimize errors from inaccurate annotations or miscalculations. This is achieved through mapping 2D images onto a body-accurate 3D geometry.

TS-002723 — Laser treatments are common in dermatology and other fields. Thermal energy from the treatment can cause discomfort and pain which has resulted in the use of virtual reality as a distraction. However, there are limited options for pediatric patients. Researchers at Nationwide Children’s Hospital developed a laser safe face shield designed to fit younger children needing laser treatments. The face shield decreases their pain sensation and anxiety through providing access to virtual reality simulations while simultaneously protecting the patient’s eyes.

TS-001178 — Currently there are few existing methods on coronary flow pattern automation. The DECFA platform fulfills this unmet need by predicting diseased coronary blood flow by integrating previously unutilized data features from (sonographic) Doppler echocardiography measurements, cardiac functional and other physiological data (e.g. heart rate, body weight, etc) using machine learning. The DECFA program is superior to manual intervention as it provides more efficient analysis, more accurately, and can accept raw video files of PW Doppler and Color Doppler B-mode files, applicable on mouse models, potentially applicable to humans. DECFA can analyze raw PW Doppler AND Color Doppler B-Mode AVI video files to calculate overall coronary blood flow and coronary flow reserve, and the separation of each coronary flow pattern into 4 distinct phases representative of the stages in a cardiac cycle. Benefits: More efficient analysis over manual intervention, less error than manual intervention, capable of accepting raw video files of PW Doppler and Color Doppler B-mode files, applicable on mouse models, potentially applicable to humans (not yet validated). New features include the analysis of raw PW Doppler AND Color Doppler B-Mode AVI video files to calculate overall coronary blood flow and coronary flow reserve, and the separation of each coronary flow pattern into distinct phases representative of the stages in a cardiac cycle. The machine learning aspect brings state-of-the-art technology to determine whether it may be useful in directly predicting/diagnosing coronary microvascular disease. Stage of Development: We are currently in the final stages of completing the data analysis for all of the in vivo coronary and cardiac physiological parameters that will be used to perform the final runs through the machine learning process. We did perform an “interim” analysis using about half of the data, the results of which were promising (inconclusive at this point, but they put the predictive value of coronary flow patterns above 90% for identifying diseased coronary blood flow). This process also uses the whole envelope instead of discrete points of the coronary flow pattern, in addition to the texture-analysis extension. After this process is complete in mice, we plan to obtain human coronary blood flow patterns to determine whether this could be clinically useful beyond research applications. Potential Applications/Markets: Our program could be utilized in a research setting for robust, comprehensive, and more efficient analysis of coronary flow patterns in mice measured through Doppler Echocardiography (It solves the problem of large inter/intra observer error and time required for manual analysis). The program could also be used clinically for use in the medical field for the same analysis if adjusted for human use. It could also be used as an add on feature to the VisualSonics Vevo 2100 software for added capabilities in analyzing PW Doppler coronary flow patterns and Color Doppler B-mode files. The parameters that we identify in our program could be potentially useful in clinical diagnostics/machine learning/prediction modeling for better identifying and predicting disease. Furthermore, we envision that this could be tested and applied to clinical coronary Doppler echocardiograms, with the readout being predictability of coronary microvascular disease based on the machine learning algorithm of coronary flow patterns. Opportunity/Seeking: Development Partner Commercial Partner Licensing IP Status: Know-how based Copyright

TS-000347 — This device provides a system for measuring motion variables, such as speed or reach, cognitive variables such as focus or priotization, or other variables influencing interaction with a physical device, using an interactive game as an interface. By evaluating these variables using performance on a game-based system, the eWAM reduces volitional variation in measured performance, and provides a platform for testing the impact of motivational stimuli at the same time as tracking performance variables.