The subject disclosure provides systems, computer-implemented methods, and clinical workflows for meso-dissection of biological specimens and tissue slides by incorporating annotation and inter-marker registration modules within digital pathology imaging and meso-dissection (or milling) systems. Images of a reference slide a milling slide may be acquired using the same imaging system, with the annotations on the image associated with the milling slide being based on the inter-marker registration. Each image along with its respective annotations and meta-data may be associated with a project or a case, and stored in an image management system. A same-marker registration may be used to map annotations from the annotated image of the milling slide to a live image of the milling slide. The milling slide may be milled based on the annotations, with milled tissue output into a contained that is labeled in association with the labeled input slides.

Methods for the detection of enzymatic activity, in particular, to in vivo methods. A non-invasive method for in vivo enzyme activity detection, such as activity of proteinases, to substrates specifically developed for these methods and to a device detecting product formation of the enzyme to be tested based on determination of signals produced by the substrates and/or its products.

Methods for the large scale identification of post-translational modification states of proteins and enzyme activities for carrying out post-translational modification reactions involve the analysis of functional extracts from fresh and frozen samples using protein arrays. The methods and kits of the present invention can be used to analyze and characterize compounds for their effects on post-translational modifications and their pathways. The methods and kits can also be used to diagnose and characterize a wide variety of diseases and medical conditions, including cancer, neurodegenerative diseases, immune diseases, infectious diseases, genetic diseases, metabolic conditions, and drug effects using cells or body fluids of a patient.

The present disclosure provides an isolated, engineered or non-naturally occurring protein comprising an antibody light chain variable domain (V.sub.L) which may comprise at least one negatively charged amino acid positioned between residues 49 to 56 according to the numbering system of Kabat, the protein capable of binding specifically to an antigen.

The subject disclosure provides systems, computer-implemented methods, and clinical workflows for meso-dissection of biological specimens and tissue slides by incorporating annotation and inter-marker registration modules within digital pathology imaging and meso-dissection (or milling) systems. Images of a reference slide a milling slide may be acquired using the same imaging system, with the annotations on the image associated with the milling slide being based on the inter-marker registration. Each image along with its respective annotations and meta-data may be associated with a project or a case, and stored in an image management system. A same-marker registration may be used to map annotations from the annotated image of the milling slide to a live image of the milling slide. The milling slide may be milled based on the annotations, with milled tissue output into a contained that is labeled in association with the labeled input slides.

A biomaterial collection device can include a wire that includes a functional member including a proximal end, a distal end, a first flat surface and a second flat surface opposing the first surface. The functional member can be configured to fit within a body lumen. The functional member can include binding elements configured to bind circulating biomolecules and cells. The functional member can include curved portions that form revolutions around the longitudinal axis of the device.

A method of treating bladder cancer comprising diagnosing bladder cancer in a human, measuring the human’s level of CDKN2A expression, and then instilling into the human an agent which induces interferon expression.

Disclosed herein are formulations, substrates, and arrays. Also disclosed herein are methods for manufacturing and using the formulations, substrates, and arrays. Also disclosed are methods for identifying peptide sequences useful for diagnosis and treatment of disorders, and methods for using the peptide sequences for diagnosis and treatment of disorders, e.g., celiac disorder. In certain embodiments, substrates and arrays comprise a porous layer for synthesis and attachment of polymers or biomolecules.

Systems and methods for generating user-specific recommendations of products or services by collaborative filtering executed and/or performed by one or more trained or untrained predictive models configured to ingest product attribute(s), product purpose(s), user location data, and/or user demographics. The predictive model(s) are leveraged to detect and determine user-specific preferences for, and preferences against, particular attributes, features, ingredients, aesthetic styles, and so on.

The field of the invention generally relates to sample collection, for example of a sample being an exhaled breath. In particular, an integrated device is disclosed herein comprising a silicon chip for sampling particulate matter from a sample and for analysis, preferably by a protocol using thermocycling, of the particulate matter as collected from the sample. Further, point-of-care (PoC) and self-use analysis systems compatible with the integrated device, and methods related to sample collection and/or analysis using the same, are also disclosed.