A Specialized Tissue Collection Device for the Preservation and Transportation of Needle Biopsies

The ability to hold and transport tissue, especially needle biopsies in a pre-defined and controlled environment is critical for the preservation of biopsy samples in downstream analytic applications. Currently, tissue specimens are placed in open containers with variable, poorly controlled solutions applied to them, often in less than sterile conditions.  Evaluation of the tissue by examination through a stereoscope or similar approaches to determine adequacy is limited and requires manipulation of the tissue that can further damage the tissue.

T Cell Receptors Targeting p53 Mutations for Cancer Immunotherapy and Adoptive Cell Therapy

The tumor protein p53 is a cell cycle regulator. It responds to DNA damage by triggering the DNA repair pathway and allowing cell division to occur or inducing cell growth arrest, cellular senescence, and/or apoptosis. p53 therefore acts as a tumor suppressor by preventing uncontrolled cell division. However, mutations in p53 that impair its cell cycle regulatory functions can induce uncontrolled cell division leading to cancer.

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.

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.

Nucleic Acid Nanoparticles (NANP) and Methods of Using Same for Controlled Immunomodulation

The technology is directed to compositions and methods of designing nucleic acid nanoparticles (NANPs) composed entirely of DNA, RNA, or DNA and RNA to achieve desirable immunostimulation and decrease undesirable effects on the immune system by changing the composition of the NANP. Benefits of the invention include the desirable activation of the immune system by these particles to increase the efficacy of vaccines and immunotherapies.