Otonexus Medical Technologies, Inc.

Microsoft Technology Licensing, LLC

University of Washington

Arizona State University

Charlie Corredor

Mark A Moehring

George A Gates

Chad Jason MacDonald

Dar Bahatt

Daniel Kreindler

Caitlin E Cameron

Paul K Westerhoff

Shahnawaz Sinha

Thottam Sriram

Jonathan Posner

Robin Thomas

Varadarajan Thiruvillamalai

Shashi R Singaravel

Christoffer Benjamin Rosen

Mengdong Yang

Shijie Ma

Xiangyu Bi

Sarosh Anwar

Chad Jason Macdonald

A device for measuring reflected ultrasound and optical signals may include: an optical source; an optical assembly comprising at least one lens, configured to focus reflected optical illumination from a target onto a detector; and an ultrasound transducer aligned to transmit and receive ultrasound radiation co-axially with the reflected optical illumination and wherein the ultrasound transducer at least partially obstructs a path of the reflected optical illumination. An obstruction may be distant from a focal spot of the optical assembly. The device for measuring reflected ultrasound and optical signals may be particularly useful for characterizing fluid behind an ear drum to diagnose otitis media.

Methods and devices for membrane characterization with ultrasound and optical illumination

Disclosed herein are systems and methods for classifying a tympanic membrane by using a classifier. The classifier is a machine learning algorithm. A method for classifying a tympanic membrane includes steps of: receiving, from an interrogation system, one or more datasets relating to the tympanic membrane; determining a set of parameters from the one or more datasets, wherein at least one parameter of the set of parameters is related to a dynamic property or a static position of the tympanic membrane; and outputting a classification of the tympanic membrane based on a classifier model derived from the set of parameters. The classification comprises one or more of a state, a condition, or a mobility metric of the tympanic membrane.

Machine learning for otitis media diagnosis

Systems and methods are directed to monitoring and managing a health of a content processing data ingestion pipeline. In example embodiments, a plurality of content elements are ingested from a source to a destination through the ingestion pipeline, whereby the ingestion pipeline comprises a plurality of nodes between the source and the destination. A data management system detects a gap in the ingestion pipeline. The gap indicates a difference associated with a content element of the plurality of content elements between a first node and a second node of the ingestion pipeline. In response to detecting the gap, the data management system automatically triggers reingesting of the content element from the first node. The data management system also determines, based on monitoring of the ingestion pipeline, the health of the ingestion pipeline and provides a dashboard that graphically represents the health.

Content processing data ingestion pipeline monitoring and management system

Disclosed herein is a device for modeling properties of an ear. The device includes an artificial tympanic membrane and a housing coupled to the artificial tympanic membrane. The housing defines an interior portion coupled to an interior surface of the artificial tympanic membrane. The interior portion has an adjustable volume or an adjustable type of fluid and an adjustable gas pressure. Adjustment of the volume or type of fluid and the gas pressure changes a membrane movement to produce selected movement properties according to a mobility scale.

Systems and methods for simulating a tympanic membrane

A composition for dry reagent colorimetric sensing of nanoparticles in aqueous media, including sodium borohydride (NaBH), methylene blue (MB), and 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid (HEPES) in the form of a powdered mixture. The composition may be formed by combining MB, HEBES, and water to yield an aqueous mixture, removing water from the aqueous mixture to yield a solid mixture, and combining NaBHpowder with the solid mixture to yield the composition. The composition may be used to detect metallic nanoparticles an aqueous solution by combining the composition with an aqueous solution to yield a test solution, and assessing a concentration of the metallic nanoparticles in the test solution based on absorbance of light by the test solution. The composition may be provided in an assay kit for sensing nanoparticles in aqueous media.

Dry reagent colorimetric sensing of nanoparticles in aqueous media

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Charlie Corredor