Isotropic Generalized Diffusion Tensor MRI

Scientists at the Eunice Kennedy Shriver National Institute for Child Health and Human Development (NICHD) have developed a method implemented as pulse sequences and software to be used with magnetic resonance imaging (MRI) scanners and systems. This technology is available for licensing and commercial development. The method allows for measuring and mapping features of the bulk or average apparent diffusion coefficient (ADC) of water in tissue – aiding in stroke diagnosis and cancer therapy assessment.

AngleNav: Micro-Electro-Mechanical Systems (MEMs) Trackers to Facilitate Computed Topography (CT)-Guided Needle Puncture

Conventional free-hand needle puncture procedures for biopsy and other procedures, often rely on unguided manual movements to guide a needle to its destination. Freehand procedures risk missing the tumor, or accidental injury, such as puncturing a vital organ. Needle guidance systems may improve accuracy and reduce risks but available guidance technologies are cumbersome and expensive and may carry other risks.

Synthesis and Characterization of Bismuth Beads for Trans Arterial Chemo Embolization Under Computed Tomography (CT) Guidance

Existing microsphere technologies are used as therapy for certain cancers. The therapy is by way of occlusion, when the microspheres are delivered into blood vessels that feed a tumor. The physical dimensions of the microspheres occlude the blood supply and thus, killing the tumor. Some microspheres have also been modified to bind protein, elute drugs, and reduce inflammatory reactions as part of the therapy. However, one technical short-coming of existing microsphere technology is a limited capability to be visualized in real-time.

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.

Eye Tracking Application in Computer Aided Diagnosis and Image Processing in Radiology

Medical imaging is an important resource for early diagnostic, detection, and effective treatment of cancers. However, the screening and review processes for radiologists have been shown to overlook a certain percentage of potentially cancerous image features. Such review errors may result in misdiagnosis and failure to identify tumors. These errors result from human fallibility, fatigue, and from the complexity of visual search required.

Topical Sodium Nitrate Ointment for Sickle Cell Disease

Chronic leg ulcers are a debilitating vasculopathic complication for some patients with sickle cell disease (SCD). Prevalence of leg ulcers varies based on age and geographic location; about 5-10% of all SCD patients may suffer leg ulcers. These leg ulcers are painful, result in infections, hospitalization, disability, and negatively impact the patient’s social and psychological wellbeing on an ongoing basis.

Methods for Producing Stem Cell-Like Memory T Cells for Use in T Cell-Based Immunotherapies

T cells currently employed for T cell-based immunotherapies are often senescent, terminally differentiated cells with poor proliferative and survival capacity. Recently, however, scientists at the National Cancer Institute (NCI) identified and characterized a new human memory T cell population with stem cell-like properties. Since these T cells have limited quantities in vivo, the scientists have developed methods by which high numbers of these cells can be generated ex vivo for use in T cell-based immunotherapies.

A Dendritic Cell Vaccine to Immunize Cancer Patients Against Mutated Neoantigens Expressed by the Autologous Cancer

Vaccines against non-viral cancers target mainly differentiation antigens, cancer testis antigens, and overexpressed antigens.  One common feature to these antigens is their presence in central immunological tolerance. Using these vaccines, T cells underwent depletion of high avidity clones directed against such antigens. This depletion can cause the loss of T cells bearing high affinity T cell receptors (TCRs) for their cognate antigens which have superior cytotoxic capacity, longer persistence in the tumor microenvironment, and decreased susceptibility to immune suppression.

Machine Learning and/or Neural Networks to Validate Stem Cells and Their Derivatives for Use in Cell Therapy, Drug Delivery, and Diagnostics

Many biological and clinical procedures require functional validation of a desired cell type. Current techniques to validate rely on various assays and methods, such as staining with dyes, antibodies, and nucleic acid probes, to assess stem cell health, death, proliferation, and functionality. These techniques potentially destroy stem cells and risk contaminating cells and cultures by exposing them to the environment; they are low-throughput and difficult to scale-up.

Method for Reproducible Differentiation of Clinical Grade Retinal Pigment Epithelium Cells

The retinal pigment epithelium (RPE) is a cell monolayer with specialized functions crucial to maintaining the metabolic environment and chemistry of the sub-retinal and choroidal layers in the eye. Damage or disease causing RPE cell loss leads to progressive photoreceptor damage and impaired vision. Loss of RPE is observed in many of the most prevalent cases of vision loss, including age related macular degeneration (AMD) and Best disease.