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BRAF is an oncogene that encodinges a serine-threonine kinase (B-Raf kinase) important in regulating cell growth and differentiation. Spontaneous mutations in the BRAF gene allow cells to continuously divide, leading to the development of cancer. A substitution of glutamic acid for valine at amino acid number 600 (designated V600E) accounts for 90% of BRAF mutations and is a driver of many cancers. The V600E mutation is present in ~3% of all cancer cases, representing a patient population of 540,000 patients per year.

Computer and imaging technologies led to the development of digital pathology and the capture and storage of pathological specimens as digitally formatted images. The use of artificial intelligence (AI) in digital pathology, such as in three-dimensional (3D) reconstruction, requires analyses of high volumes of data. This results in increased demands for processing and acquisition of digital images of pathology samples. Increased usage cannot be met by the time-consuming, manual, and laborious methods currently used.

Adoptive cell therapy (ACT) is a breakthrough form of cancer immunotherapy that utilizes autologous, antitumor T cells to attack tumors through recognition of tumor-specific mutations, or neoantigens. A major hurdle in the development of ACT is the exhausted phenotype exhibited by many neoantigen-specific T cells, which limits their efficacy and prevents a sustained immune response. 

Vaccines have become one of the most important tools in the fight against cancers and infectious diseases. However, some vaccines have shown limitations due to their high cost and low immune responses. To overcome these limitations, bacteriophages were proposed for the development of more cost-effective, immunogenic vaccines. Phages have shown a strong ability to activate induced and adaptive immune systems. The genome of these viral particles can be engineered, and their surface proteins can be exploited for antigen display.

Measuring and mapping nervous tissue microstructure noninvasively is a long sought-after goal in neuroscience. Several neuropathologies – such as cancer and stroke – are associated with changes in tissue microstructure. Changes in material properties, such as stiffness, represent a sensitive measure of

Extracellular vesicles (EVs) are lipid bilayer-enclosed particles that are released from cells. EVs may contain proteins derived from their cells of origin with the potential as diagnostic biomarkers indicating the state of the cells when released. However, due to their small size (50-1000nm), the methods currently used to phenotype EVs have limited sensitivity and scale. A need exists for development of novel technologies improving EV detection and phenotyping.

Immunotherapy is a cutting-edge new category of treatment that aims to harness and, in some cases, modify the patient’s own immune cells to improve their ability to cure diseases. It can be an effective approach for a variety of conditions, ranging from cancer to inflammatory diseases.  However, a number of obstacles to the overall success of immunotherapy still exist.  For example, reactivity against a target antigen can be attenuated or the lifespan of the “modified” immune cells can be too short.

Measuring and mapping nervous tissue microstructure noninvasively is a long sought-after goal in neuroscience. Clinically, several neuropathologies such as cancer and stroke, are associated with changes in tissue microstructure. Diffusion tensor imaging (DTI), which models diffusion anisotropy, is an ideal imaging modality to elucidate these changes. However, DTI provides a mean diffusion tensor averaged over the entire MRI voxel. This has limitations when applied to heterogeneous neural tissue.

Biological nanoparticles, like extracellular vesicles (EVs), possess unique biological characteristics making them attractive therapeutic agents, targets, or disease biomarkers. However, their use is hindered by the lack of tools available to accurately detect, sort, and analyze. Flow cytometers are used to sort and study individual cells. But, they are unable to detect and sort nanomaterials smaller than 200 nanometers with single epitope sensitivity.

Extracellular Vesicles (EVs), including exosomes and microvesicles, are nanometer-sized membranous vesicles that can carry different types of cargos, such as proteins, nucleic acids and metabolites. EVs are produced and released by most cell types. They act as biological mediators for intercellular communication via delivery of their cargos. This unique ability spurred translational research interest for targeted delivery of therapeutic molecules to treat a wide range of diseases. EVs also contain interesting information of their specific cellular origin.