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Villa San Ramon is a San Ramon, CA-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Cytomation is a Fort Collins, CO-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Delphinus Medical Technologies, Inc. is an innovation leader in advanced ultrasound development, introducing a dynamic new technique to image the breast with the use of sound and water. Delphinus is committed to creating improved imaging methods that assist medical professionals to better define and diagnose breast disease, while establishing a better patient experience that can be available for all women, regardless of age, without the concern of radiation or pain. Headquartered in Plymouth, MI, Delphinus is the first company to design and manufacture a whole breast ultrasound system that utilizes a ring transducer to transmit and receive ultrasound signals. Known as SoftVue™, three critical sound characteristics are measured and refined through proprietary algorithms, advancing this technology far beyond traditional b-mode ultrasound. By collecting and defining reflection, sound speed, and attenuation data in a 360° orientation, data are gathered and reconstructed in tomographic coronal planes, providing an enriched image set presented for cross-sectional review. SoftVue has received FDA clearance for diagnostic imaging purposes and is not intended for use as a replacement for screening mammography. Delphinus was formed in 2010 as a spin-out of Karmanos Cancer Institute [KCI] in Detroit, MI. Created by Peter Littrup, MD of Karmanos and Neb Duric, PhD of Wayne State University Detroit, MI the SoftVue technology presents a new imaging paradigm in breast disease assessment. Karmanos Cancer Institute has served as a primary investigational site for case collection and clinical studies. Delphinus holds numerous patents and proprietary assets for its innovative and scientifically-advanced works and is poised to usher in a new era of breast imaging.
Orthodontic Associates is a Watertown, WI-based company in the Healthcare, Pharmaceuticals, and Biotech sector.
Carta empowers hospitals to personalize the delivery of care to the individual needs of each patient. Our insight here is that personalizing care is not only good from an outcome/clinical perspective (where most people focus in the context of personalization) but is also the best way to optimize operations. Currently, hospitals have to over provision their resources because they are set up to serve the generic patient; planning ahead for exactly the resources needed– no more, no less– is the best way to gain efficiency. The approach we`re advocating and enabling is to: 1) Find past patients similar to the current one being treated 2) Quantify what exactly happened to them during their journey through the hospital (this is where our model comes in) 3) Use machine learning to project what the particular patient in question will need, and what the patient can expect their experience to be in the hospital We`re applying this approach now to two use cases– supplies projection and bed usage projection– and we have a bunch of other use cases we`re planning on addressing in the future.