Search Results - daniel+reich

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A Device for Magnetic Stimulation of the Vestibular System

Unmet NeedVestibular disorders (dizziness, vertigo, imbalance) are ubiquitous problems in clinical medicine. They account for many millions of visits to physicians and therapists every year, and often produce prolonged physical and psychological disability leading to a loss of economic productivity and a high risk of falls and injuries. Like many other...

Published: 3/13/2025 | Inventor(s): Daniel Reich, Collin Broholm, David Zee, Dale Roberts, Michael Schubert, Jorge Otero-Millan, Bryan Ward

Keywords(s): Disease Indication, Ear and Hearing Disorders, Hearing Disorders, Other, Therapeutic Devices, Therapeutics

Category(s): Clinical and Disease Specializations, Technology Classifications > Medical Devices > Therapeutic Devices, Clinical and Disease Specializations > Ear, Nose & Throat, Technology Classifications > Medical Devices, Clinical and Disease Specializations > Ear, Nose & Throat > Hearing Disorders

A Microfabricated Multiple Actuation Device for Mechanical Conditioning of 3D Microtissues

We have recently demonstrated an approach that enables mechanical stimulation of microtissues via magnetic actuation of magnetic microspheres bonded to one of the cantilevers in each device (ALL THREE ZHAO REFS). This has notably allowed measurement of the mechanical stiffness of such constructs, and hence analysis of the relative contribution of cells...

Published: 3/13/2025 | Inventor(s): Fan Xu, Ruogang Zhao, Tristin Metz, Alan Liu, Yu Shi, Daniel Reich

Keywords(s): Implanted Device, Implants, Therapeutic Devices, Therapeutic Method, Therapeutics, Tissue Engineering/Regenerative Devices

Category(s): Technology Classifications > Medical Devices > Regenerative Medicine, Technology Classifications > Medical Devices > Therapeutic Devices, Technology Classifications > Therapeutic Modalities, Technology Classifications > Medical Devices

SuBLIME: Automatic Brain Lesion Incidence and Detection Using Multimodality Longitudinal Magnetic Resonance Imaging

Subjects develop brain lesions over the natural course of a disease, Thus, there is a need to identify, estimate the size, and track the time course of new lesions as they are being formed and remain in the brain. Currently, this is done by a trained rteuroradiologist using sliceby- slice inspection, this process is very slow, can be prone to human...

Published: 3/13/2025 | Inventor(s): Elizabeth Sweeney, Colin Shea, Russell Shinohara, Arthur Goldsmith, Daniel Reich, Ciprian Crainiceanu

Keywords(s): Brain Cancer, Cancers, CNS and Neurological Disorders, Disease Indication, Image Display Software, Image Processing Software, Imaging and Sensing Systems, Imaging Modality, In Vivo Medical Imaging, Magnetic Resonance Imaging (MRI)

Category(s): Clinical and Disease Specializations, Clinical and Disease Specializations > Neurology, Technology Classifications > Computers, Electronics & Software, Technology Classifications > Medical Devices > Imaging, Technology Classifications > Medical Devices, Technology Classifications > Computers, Electronics & Software > Image Processing & Analysis, Clinical and Disease Specializations > Oncology > Brain Cancer

OASIS Automated Brain Lesion Detection Using Cross Sectional Multimodality Magnetic Resonance Imaging

C11947: Automated System for Analysis of MRI Data for Neurological AbnormalitiesNovelty: OASIS (Automated Statistical Inference for Segmentation) is a statistically principled, fast, and accurate tool for the analysis of multi-sequence MRI data that provides a segmentation identifying how much lesion load a subject has, and where in the brain these...

Published: 3/13/2025 | Inventor(s): Dzung Pham, Russell Shinohara, Arthur Goldsmith, Elizabeth Sweeney, Daniel Reich, Navid Shiee, Ciprian Crainiceanu

Keywords(s): CNS and Neurological Disorders, Disease Indication, Imaging and Sensing Systems, In Vivo Medical Imaging

Category(s): Clinical and Disease Specializations, Clinical and Disease Specializations > Neurology, Technology Classifications > Medical Devices > Imaging, Technology Classifications > Medical Devices