TS-001224 — Decks of cards have been used to facilitate knowledge for decades. A team of researchers led by Dr. Elise Berlan have developed a series of cards that combine summaries of contraceptive counciling information and patient preferences. This includes key components of contraceptive preferences which can then be used with a care provider to determine the best form of contraceptive for the patient's preference and decreases the stigma associated with discussing topics like contraceptives as adolecents or young adults.

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-001035 — Shiny R is an open source platform that allows a framework to develop online applications. With minimal required background in coding principles, a team of researchers at Nationwide Children’s Hospital were able to display and interact with the analysis made of single-cell transcriptome. Shiny R generates visualizations that include UMAP plots and presents features of single-cell RNA and transcriptomic data without extensive training in R programming. Improvements made on this existing technology includes importing data, cell filtration, principle component analysis, clustering, dimensional reduction, merging datasets, and Graphical user interface (GUI)-based generations of gene expression plots. This significantly improves the visualization and analysis of single-cell transcriptome analysis.

TS-001033 — Intravascular Ultrasound Images (IVUS) is a process that uses micro technology to provide images of blood vessels, their inner walls (endothelium) and the inside of veins. The analysis of these images allows clinicians to analyze luminal and scaffold boundaries, identify the presence of stenosis, and perform computations of various geometric quantities. This process is fully automated and therefore eliminates inconsistencies and inefficiencies that are a direct result of current semi-automated or complex fully automated systems already in place.

TS-000844 — With the changing climate of online communication, it is imperative that all aspects of healthcare meet the new expectations of virtual care. Dr. Lisa Humphrey, the Director of Hospice and Palliative Medicine at Nationwide Children’s Hospital, has developed a video-based curriculum that includes a series of modules on an online platform to provide expert pediatric palliative and hospice care, as well as additional access to informative videos and expertise.

TS-000833 — Psychologist Natalie Truba and Harvard Medical School’s Molly Colvin have developed a new tool to screen and measure the emotional, behavioral, learning, and social needs of pediatric patients diagnosed with Duchenne or Becker muscular dystrophy. Both muscular dystrophies are progressive, inherited disorders that display as muscle weakness that impacts the child’s ability to stand and walk. The intention of the tool is to advise and guide providers who lack direct access to mental health providers during clinic visits. This screening provides recommendations for support, guidance, or for further investigation or intervention for triaging mental, behavioral, or learning concerns.

TS-000792 — By importing images acquired through minimal user interaction in a clinical setting, a virtual surgical simulator is possible. This program creates a combination of visual, haptic, and aural feedback that processes images to register anatomical structures as a 3D rendering. A research team found that this technology creates a three-dimensional display of realistic bone transparency, fluid simulation rooted in physics, and a constraint-based algorithm of the bone-drill interaction haptics. By implementing and optimizing CUDA and OpenGL graphics, the simulator has the capacity to maintain real-time rendering of large data sets. The user can upload their data, while the algorithm provides information for surgical planning and rehearsal. Current adaptations are for cochlear implants, as well as nasal and sinus surgery.

TS-000747 — A how to guide for beginner stage clinical research professionals and a refresher manual for seasoned research professionals engaged in multi-site study management.

TS-000596 — Spinal Muscular Atrophy (SMA) is a severe neuromuscular disease and the leading genetic cause of infant mortality. Moreover, existing treatments suffer from notable floor and ceiling effects and also poorly discriminate improved motor performance in patients. To circumvent these challenges, researchers at Nationwide children’s have developed the Neuromuscular Gross Motor Outcome (GRO) worksheet. The GRO worksheet is a gross motor outcome measure designed to assess whole body strength, motor development and function for all levels of ability across the lifespan in those diagnosed with SMA. Hence, the GRO worksheet is the ideal outcome measure tool for SMA or similar conditions to answer the need to quantity gross motor ability across a wide age span.

TS-000501 — Research in the field of neuromuscular disease is increasing at an astonishing pace. However, there is no current standardization in the evaluation of the ambulatory status of patients. Researchers at Nationwide Children’s have devised a guide that stratifies patients into ambulatory statuses for data analysis and group assignment. Unlike the traditional binary stratification, this method adds a third stratification which is very important for clinical trial planning and an accurate assessment of the ambulatory status of patients.