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公开(公告)号:US20250058266A1
公开(公告)日:2025-02-20
申请号:US18815777
申请日:2024-08-26
Inventor: Klaus LACKNER , Shreyans KEDIA , Venkatram CHOODAMANI , Robert PAGE
IPC: B01D53/04
Abstract: A device for passive collection of atmospheric carbon dioxide is disclosed. The device includes a release chamber having an opening and a sorbent regeneration system. The device also includes a capture structure coupled to the release chamber, having at least one collapsible support and a plurality of tiles spaced along the collapsible support. Each tile has a sorbent material. The capture structure is movable between a collection configuration and a release configuration. The collection configuration includes the capture structure extending upward from the release chamber to expose the capture structure to an airflow and allow the sorbent material to capture atmospheric carbon dioxide. The release configuration includes the collapsible support being collapsed and the plurality of tiles being sufficiently enclosed inside the release chamber that the sorbent regeneration system may operate on the plurality of tiles to release captured carbon dioxide from the sorbent material and form an enriched gas.
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公开(公告)号:US12220369B2
公开(公告)日:2025-02-11
申请号:US16858302
申请日:2020-04-24
Applicant: Arizona Board of Regents on behalf of Arizona State University , Dignity Health , Luis Lopez
Inventor: Thomas Sugar , Luis Lopez , Lee Griffith , Robin Parmentier , Saivimal Sridar , Pham Huy Nguyen , Jeremy Palmiscno , Will Meredith
Abstract: A soft wearable medical device may comprise a force actuation system at least partially disposed in a glove assembly. The force actuation system may be a passive or active actuation system. The force actuation system may be configured to adjust a grip of a patient during use of the soft wearable medical device. The soft wearable medical device may further comprise a force indication system including a plurality of force sensors and a light array, each force sensor disposed in a finger of the glove assembly and the light array mounted to the glove assembly.
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公开(公告)号:US12216737B2
公开(公告)日:2025-02-04
申请号:US17698805
申请日:2022-03-18
Inventor: Zongwei Zhou , Jae Shin , Jianming Liang
IPC: G06V10/82 , G06F18/21 , G06F18/214 , G06T7/00 , G06V10/764 , G16H30/40
Abstract: Described herein are systems, methods, and apparatuses for actively and continually fine-tuning convolutional neural networks to reduce annotation requirements, in which the trained networks are then utilized in the context of medical imaging. The success of convolutional neural networks (CNNs) in computer vision is largely attributable to the availability of massive annotated datasets, such as ImageNet and Places. However, it is tedious, laborious, and time consuming to create large annotated datasets, and demands costly, specialty-oriented skills. A novel method to naturally integrate active learning and transfer learning (fine-tuning) into a single framework is presented to dramatically reduce annotation cost, starting with a pre-trained CNN to seek “worthy” samples for annotation and gradually enhances the (fine-tuned) CNN via continual fine-tuning. The described method was evaluated using three distinct medical imaging applications, demonstrating that it can reduce annotation efforts by at least half compared with random selection.
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公开(公告)号:US20250035627A1
公开(公告)日:2025-01-30
申请号:US18778278
申请日:2024-07-19
Applicant: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY , Mayo Foundation for Medical Education and Research
Inventor: Shaopeng WANG , Nanxi YU , Chao CHEN , Xinyu ZHOU , Januario E. CASTRO , Eider F. Moreno Cortes
IPC: G01N33/569 , B01L3/00 , C12N5/00 , G01N33/543 , G01N33/68 , G06V10/70
Abstract: Provided herein are methods of differentiating cell types in a cell population. The methods include removing at least some non-Chimeric Antigen Receptor (CAR)-T cells from a fluidic sample obtained from a subject without centrifuging the fluidic sample to produce a purified fluidic sample. The fluidic sample comprises CAR-T cells and the non-CAR-T cells. The methods also include capturing cells in the purified fluidic sample on a surface that comprises binding moieties that bind at least to the CAR-T cells to produce a captured cell population. In addition, the methods also include distinguishing the CAR-T cells from the non-CAR-T cells in the captured cell population using a trained machine learning model to produce a captured CAR-T cell population data set. Additional methods as well as related devices and systems are also provided.
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公开(公告)号:US20250033971A1
公开(公告)日:2025-01-30
申请号:US18913675
申请日:2024-10-11
Inventor: Alexandra Ros , Mohammad Towshif Rabbani , Christoph Schmidt
IPC: C01B32/172 , B03C5/02
Abstract: Systems & methods for sorting single-walled carbon nanotubes (SWNTs) using an iDEP-based sorting device. The device includes an inlet channel with a constriction and the inlet channel splits into multiple different channels after the constriction—the multiple channels includes a center channel and at least one side channel. A sample is introduced into the iDEP sorting device containing a plurality of SWNTs of different lengths suspended in a fluid. An electrical field is applied to the sample between a first electrode in the center channel and a second electrodes at a proximal end of the inlet channel. The applied electrical field causes longer SWNTs to move towards the side channels while the shorter SWNTs move towards the center channel. Accordingly, a first plurality of shorter SWNTs is then collected from the center channel and a second plurality of longer SWNTs is collected from the at least one side channel.
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公开(公告)号:US20250032800A1
公开(公告)日:2025-01-30
申请号:US18784215
申请日:2024-07-25
Applicant: Arizona Board of Regents on behalf of Arizona State University , Mayo Foundation for Medical Education and Research
Inventor: Derek Smetanick , Shaun Victor , Ashley Tse , Dhrasti Dalal , Alan Ramsey , David Lott , Juergen Neubauer , Jitendran Muthuswamy
Abstract: A neuromodulation device is provided that comprises a flexible layer comprising a non-conductive material, in which the layer is positioned in at least a partially tubular shape. The neuromodulation device comprises at least one cathodic band comprising at least one conductive cathodic contact housed by the layer. The neuromodulation device comprises an anodic band comprising at least one anodic contact housed by the layer. The neuromodulation device comprises is configured to receive a wireless signal to power and activate the at least one cathodic contact and the at least one anodic contact in a coordinated reset cycle.
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公开(公告)号:US20250029372A1
公开(公告)日:2025-01-23
申请号:US18776010
申请日:2024-07-17
Inventor: Zuwei Guo , Nahid Ul Islam , Jianming Liang
IPC: G06V10/774 , G06N3/0455 , G06N3/088 , G06N3/094 , G06V10/82 , G16H30/40
Abstract: A stepwise incremental pre-training for integrating discriminative, restorative, and adversarial learning in an AI model. Exemplary systems include means for receiving a training dataset for training a unified AI model. The unified AI model applies each of discriminative, restorative, and adversarial learning operations through three transferable components: a discriminative encoder, a restorative decoder, and an adversarial encoder. Stepwise incremental pre-training operations train the unified AI model, including pre-training the discriminative encoder via discriminative learning and attaching the trained discriminative encoder with the restorative decoder to form a skip-connected encoder-decoder, pre-training the skip-connected encoder-decoder via joint discriminative and restorative learning, and associating the pre-trained skip-connected encoder-decoder with the adversarial encoder. Training of the AI model is finalized by performing full discriminative, restorative, and adversarial learning on the training dataset using the unified AI model.
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公开(公告)号:US20250027835A1
公开(公告)日:2025-01-23
申请号:US18778748
申请日:2024-07-19
Applicant: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY , UNIVERSITY OF NEBRASKA-LINCOLN
Inventor: Jnaneshwar Das , Zhiang Chen , Devin Keating , Yash Shethwala , Aravind Saravanakumaran , J. Ramón Arrowsmith , Christine Wittich
IPC: G01M7/02
Abstract: A low-cost robotic shake table and method for operating the same is disclosed. The shake table includes a chassis having a pedestal slidably coupled to two linear shafts. The shake table also includes a motion system having a stepper motor, a transmission, and a motor driver, with the stepper motor coupled to the pedestal through the transmission. The shake table includes a perception system having a camera, an accelerometer coupled to the pedestal, and a plurality of fiducial markers coupled to the pedestal, and a microcontroller communicatively coupled to the motor driver and the perception system. The microcontroller is configured to receive an input motion data, produce a set of translational velocities based upon the input motion data, and convert the set of translational velocities into a control signal that will cause the stepper motor to move the pedestal along the linear shafts according to the translational velocities.
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公开(公告)号:US20250023571A1
公开(公告)日:2025-01-16
申请号:US18714338
申请日:2022-11-30
Inventor: Saeed Zeinolabedinzadeh , Matthew Kinsinger , Waleed Ahmad
Abstract: A fast-tracking phase-locked-loop (PLL) with an analog mixer for phase detection and correction is provided. A frequency lock loop architecture as described herein is used for a PLL that can lock the phase of a local oscillator to an input reference signal of arbitrarily high frequency, even if the local oscillator and the input reference signal frequencies are originally very far apart. To accommodate arbitrarily high frequency input reference signals, embodiments use an analog mixer for the phase detector, rather than a phase-frequency detector (PFD). The analog mixer can be designed to operate on input signals with frequencies of 10's of GHz, whereas the PFD is limited to input frequencies of less than 1 GHz. Embodiments use a new architecture utilizing the concept of Hartley Image Rejection receiver architecture in a frequency lock loop, which enables the PLL to adjust the local oscillator frequency to be brought within the frequency locking range of the analog mixer.
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公开(公告)号:US20250005308A1
公开(公告)日:2025-01-02
申请号:US18701030
申请日:2022-10-18
Inventor: Michael N. Kozicki
Abstract: Identifying a test pattern includes positioning a test pattern that includes a first multiplicity of particles that reflect or emit light in the field of view of a first imaging device; illuminating the test pattern with light from a first light source; obtaining, with the first imaging device, a first test image of light reflected by the first multiplicity of particles; and comparing the first test image with a first reference image of a reference pattern obtained by a second imaging device.
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