A Device for Simultaneous and Rapid Diagnosis and Detection of Recent and Long Term HIV-1 Infection
Multiplexing Homocysteine in Primary Newborn Screening Assays Using Maleimides as Select Derivatization Agents
Anti-Puromycin Antibodies Illuminate the World of Cellular Protein Translation
The Ribopuromycylation (RPM) technology, developed by Dr. Jon Yewdell and Dr. Alexandre David, offers a powerful and universal method for visualizing and studying protein translation within cells. RPM involves the use of puromycin, a molecule that mimics a tyrosyl-tRNA and terminates translation by becoming covalently incorporated into the nascent protein chain's C-terminus within the ribosome's A site. This technique enables the immobilization of puromycylated nascent protein chains on ribosomes when chain elongation inhibitors like cycloheximide or emetine are utilized.
Recombinant Sulfated HIV Envelope Protein and Methods for Making Protein
Precision, Optimally Targeted, ElectroConvulsive Therapy (PROTECT)
The PRecision, Optimally Targeted Electroconvulsive Therapy (PROTECT) is a novel stimulator device, which aims to improve the treatment of treatment-resistant depression (TRD).
Multichannel Individualized Seizure Therapy (MIST) Device
The Multichannel Individualized Stimulation Therapy (MIST) device is a multichannel electrical stimulation system that can be used for targeted, individualized electroconvulsive therapy (ECT), especially for treatment-resistant depression (TRD). Millions of individuals suffer from TRD, for which ECT is often the most efficacious and rapidly acting treatment option.
Robotic Exoskeleton for Treatment of Crouch Gait in Children with Cerebral Palsy (CP)
Crouch gait is a common disorder in pediatric cerebral palsy (CP). Effective treatment of crouch during childhood is critical to maintain mobility into adulthood. Current interventions do not alleviate crouch gait long-term for most patients. This technology relates to a powered exoskeleton designed for gait assistance. The powered assistance may provide a physical therapy-type intervention to improve and maintain mobility.
Progressive and Multipath Neural Network for Medical Image Segmentation
The technology relates to software, systems, and methods for automated medical image segmentation via deep learning. Standard holistically-nested networks (HNNs) used in computer vision and medical imaging for segmentation and edge detection have a problem with coarsening resolution. The described technology addresses this.
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
Medical image datasets are an important clinical resource. Effectively referencing patient images against similar related images and case histories can inform and produce better treatment outcomes. Labeling and identifying disease features and relations between images within a large image database has not been a task capable of automation. Rather, it is a task that must be performed by highly trained clinicians who can identify and label the medically meaningful image features.