Treatment of Chronic Kidney Disease with Synthetic Amphipathic Peptides

The invention is directed to treatment of chronic kidney disease by administering a synthetic, amphipathic helical peptide known as 5A-37pA, and novel derivatives thereof. Scientists at NIDDK have demonstrated that invention peptides antagonize activity of a particular scavenger receptor known as CD36. Using an in vivo model, NIDDK scientists have shown that invention peptides slowed progression of chronic kidney disease and can potentially be utilized as a therapeutic treatment.

Intra-bone Drug Delivery Device and Method

The invention pertains to devices for directly infusing cellular therapeutics into patient bone. The device monitors intra-bone pressure using pressure sensors disposed at its proximal end and adjusts infusion pressures during infusion such that intra-bone pressure does not exceed levels of systemic blood pressure. Such devices, apparatus and methods are particularly suitable for use in performing bone marrow transplants, particularly transplants that utilize cord blood as a stem cell source.

Stapled Peptides for Treatment of Cardiovascular Diseases and Inflammation

The invention is directed to small molecule mimetics of apolipoproteins that have an inter-helical hydrocarbon bond, which stabilizes helix formation.

Apolipoproteins facilitate the transport of lipids and cholesterol in the body. Mimetics of apolipoproteins have been used to treat cholesterol-related disorders. However, these mimetics are susceptible to degradation in biological fluids and as a result, their ability to bind cholesterol becomes diminished over time.

Device for Selective Partitioning of Frozen Cellular Products

Cryopreservation using liquid nitrogen frozen polyvinyl bags allows for storing cellular materials for extended periods while maintaining their activity and viability. Such bags are commonly used in the clinic to store blood products including blood cells, plasma, hematopoietic stem cells, umbilical cord blood for future uses including transplantation. These materials, typically obtained in limited quantities, may be of great therapeutic value, as is the case of stem cells or cord blood derived cells which can be used to potentially treat a number of diseases.

Antigen Mixtures for Serological Detection of HHV-8 Infection

This invention describes a highly specific and sensitive serological test for human herpesvirus 8 (HHV-8) infection that uses the Luciferase Immunoprecipitation System (LIPS). A mixture of four virus-specific antigens, including K8.1, v-cyclin, ORF65 and LANA, was shown to provide more robust detection of HHV-8 infection than traditional methods due its ability to detect very low viral loads.

Transperineal Ultrasound-Guided Prostate Biopsy

Prostate cancer is the most common male cancer in the United States, and the third most common worldwide. Prostate biopsies are often performed to confirm a cancer diagnosis and examine suspect tissue. Prostate biopsies are most often performed under transrectal ultrasound imaging (TRUS) guidance. TRUS images in real-time, at relatively low cost, and shows both prostate and boundaries. However, major problems with TRUS imaging are poor spatial resolution and low sensitivity for cancer detection.

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.  

Convolutional Neural Networks for Organ Segmentation

Accurate automated organ and disease feature segmentation is a challenge for medical imaging analysis. The pancreas, for example, is a small, soft, organ with low uniformity of shape and volume between patients. Because of the lack of uniform image patterns, there are few features that can be used to aid in automated identification of anatomy and boundaries. Segmentation of high variability features is uniquely difficult for a computer to perform.

Convolutional Neural Networks for Organ Segmentation

Accurate automated organ and disease feature segmentation is a challenge for medical imaging analysis. The pancreas, for example, is a small, soft, organ with low uniformity of shape and volume between patients. Because of the lack of uniform image patterns, there are few features that can be used to aid in automated identification of anatomy and boundaries. Segmentation of high variability features is uniquely difficult for a computer to perform.