Abstract: The present invention relates to matriptase antibodies and immunoconjugates of matriptase antibodies with cytotoxic agents and the use thereof for killing or inhibiting the growth of matriptase-expressing cancer cells, such as those of multiple myeloma and breast cancers. In particular, immunoconjugates comprising a matriptase monoclonal antibody and anticancer agents such as auristatin, including monomethyl auristatin E (MMAE) and monomethyl auristatin F (MMAF) are introduced, which have potent antitumor activity in vivo. Moreover, importantly; there was no weight loss or other evidence of toxicity in the animals, indicating that no significant free drug was released into the circulation from the conjugate. The present invention also provides compositions comprising these new immunoconjugates and use of them for treatment of malignancies comprising cells that express matriptase.

Abstract: A method is provided to reduce the counting times in radiation detection systems using machine learning, wherein the method comprises: receiving output data from a detector which is to detect a target material from a target body; analyzing the output data; identifying a material of interest from the analyzed output data; and controlling a source of the target material to prevent the source from harming the target body. An apparatus is also provided which comprises: a detector to detect radiation and to provide an output data in real-time; and a processor coupled to the detector, wherein the processor is to: receive the output data; analyze the output data; identify a material of interest from the analyzed output data; and control a source of the target material.

Abstract: Disclosed are small molecule c-kit inhibitors useful in reducing or eliminating mast cell mediated inflammation. Pharmaceutical formulations containing the c-kit inhibitors are also disclosed. Additionally, methods of treating or preventing a condition, disorder, or disease using the c-kit inhibitors or pharmaceutical formulations thereof are disclosed. The condition, disorder, or disease may be an inflammatory condition, including flares of the inflammatory condition. Exemplary inflammatory conditions relevant to this disclosure include, but are not limited to, mastocytosis, mast cell activation syndrome, hereditary alpha tryptasemia, urticaria, Lyme disease, mast cell leukemia, chronic obstructive pulmonary disease, long COVID, asthma, inflammatory bowel disease, arthritis, allergy, and gout.

Abstract: Technologies are described for retrieving documents using image representations in the documents and is based on intra-image features. The identification of elements within an image representation can allow for deeper understanding of the image representation and for better relating image representations based on their intra-image features. The intra-image features present in image representations can be used in searches. Search results can further be reranked to improve search results. For example, reranking can allow search results to conform to intra-image dominant image features.

Abstract: A machine-learning tool learns from sensors' data of a nuclear reactor at steady state and maps them to controls of the nuclear reactor. The tool learns all given ranges of normal operation and responses for corrective measures. The tool may train another learning tool (or the same tool) that forecasts the behavior of the reactor based on real-time changes (e.g., every 10 seconds). The tool implements an optimization technique for differing half-life materials to be placed in the reactor. The tool maximizes isotope production based on optimal controls of the reactor.

Abstract: Technologies are described for reconstructing physical objects which are preserved or represented in pictorial records. The reconstructed models can be three-dimensional (3D) point clouds and can be compared to existing physical models and/or other reconstructed models based on physical geometry. The 3D point cloud models can be encoded into one or more latent space feature vector representations which can allow both local and global geometric properties of the object to be described. The one or more feature vector representations of the object can be used individually or in combination with other descriptors for retrieval and classification tasks. Neural networks can be used in the encoding of the one or more feature vector representations.

Abstract: Method of determining if a subject has suffered tissue damage from exposure to a toxic agent. The method comprises sequencing cell-free DNA (cfDNA) in a biospecimen from the subject; determining cellular origin of the cfDNA by identifying methylation patterns in one or more portions of the sequence of the cfDNA that contains methylation sites, in which the cellular origin of the cfDNA is determined when the methylation pattern in the one or more portions is the same as a known cell-type specific methylation patterns; measuring the quantity of the cfDNA of the determined cellular origin, and comparing the measured quantity of the cfDNA of the determined cellular origin with a normal quantity of cfDNA of the determined cellular origin. A greater quantity of the measured cfDNA of the determined cellular origin is indicative that the subject has suffered tissue damage.

Abstract: In certain aspects, the invention relates to methods of treating proliferative cervical disorders (such as cervical cancer and cervical dysplasia) and treating virus infection by administering artemisinin-related compounds. In certain aspects, the invention relates to methods of treating a tumor induced by an oncogenic virus, methods of killing or inhibiting a squamous cell carcinoma, and methods of inhibiting the replication of a virus, by administering artemisinin-related compounds.

Abstract: Methods for the treatment of cutaneous vascular conditions and cutaneous proliferative conditions are provided. The methods employ topical administration of mammalian target of rapamycin (mTOR) inhibitors such as sirolimus (rapamycin) and everolimus. Conditions treatable by the disclosed methods include venolymphatic malformations, acne, acne rosacea, periorificial dermatitis, acne vulgaris, cutaneous capillary malformation-arteriovenous malformation (CM-AVM) syndrome, RASopathies, Langerhans cell histiocytosis, non-Langerhans cell histiocytosis, scars, hypertrophic or keloidal scars, Proteus syndrome, PIK3CA-related overgrowth spectrum (PROS), PTEN hamartoma tumor syndromes, cutaneous malignancies and tumors associated with PI3K/AKT/mTOR mutations, keratodermas, acanthosis nigricans, Birt-Hogg-Dube syndrome, Brooke-Speigler syndrome, cylindromas, and epidermal nevi.

Abstract: The present invention provides methods of identifying neopeptides in abnormal cells, with the methods comprising sequencing long-read messenger RNA (mRNA) isolated from the abnormal cells, identifying splice variants that could be generated from the sequenced long-read mRNA, determining if the abnormal cells contain neopeptides that correlate with the identified splice variants. The methods may also comprise identifying at least one neoantigen on the neopeptides that are present in the abnormal cells.

Abstract: Technologies are described for reconstructing facial models which are preserved images or images captured from security cameras. The reconstructed models can be three-dimensional (3D) point clouds and can be compared to existing facial models and/or other reconstructed models based on physical geometry. The 3D point cloud models can be encoded into one or more latent space feature vector representations which can allow both local and global geometric properties of a face to be described. The one or more feature vector representations of a target face can be used individually or in combination with other descriptors for recognition, retrieval, and classification tasks. Neural networks can be used in the encoding of the one or more feature vector representations.

Abstract: Technologies are described for reconstructing physical objects which are preserved or represented in pictorial records. The reconstructed models can be three-dimensional (3D) point clouds and can be compared to existing physical models and/or other reconstructed models based on physical geometry. The 3D point cloud models can be encoded into one or more latent space feature vector representations which can allow both local and global geometric properties of the object to be described. The one or more feature vector representations of the object can be used individually or in combination with other descriptors for retrieval and classification tasks. Neural networks can be used in the encoding of the one or more feature vector representations.

Abstract: A method of detecting donor cell death in a subject receiving foreign biological material from a donor. The method comprises sequencing cfDNA in a biospecimen from the subject; determining cellular origin of the cfDNA by identifying methylation patterns in the sequence of the cfDNA and comparing the methylation patterns in the sequence of the cfDNA to known methylation patterns associated with different cell types; and determining source origin of the cfDNA by genotyping the cfDNA and identifying whether the cfDNA originates from the foreign biological material or from the subject. Cell death is detected when the cfDNA has both a cellular origin of the type of foreign biological material that was received from the donor, and a source origin of the donor.

Abstract: A method and system are described for improving the speed and efficiency of obtaining conversational search results. A user may speak a phrase to perform a conversational search or a series of phrases to perform a series of searches. These spoken phrases may be enriched by context and then converted into a query embedding. A similarity between the query embedding and document embeddings is used to determine the search results including a query cutoff number of documents and a cache cutoff number of documents. A second search phrase may use the cache of documents along with comparisons of the returned documents and the first query embedding to determine the quality of the cache for responding to the second search query. If the results are high-quality then the search may proceed much more rapidly by applying the second query only to the cached documents rather than to the server.

Abstract: A method that includes detecting the presence of a pancreatic intraepithelial neoplasia lesion in a subject in vivo comprising administering to the subject a construct, or a pharmaceutically acceptable salt thereof, wherein the construct comprises: (a) a polyethylene glycol-block-poly(L-lysine) polymer moiety, wherein the polyethylene glycol is thiol-functionalized; (b) a cholecystokinin-B (CCK-B) receptor ligand coupled to the polyethylene glycol of the polymer moiety; and (c) a detectable moiety complexed with, or conjugated to, the poly(L-lysine) of the polymer moiety, wherein the construct is neutralized.

Abstract: A flexible drug delivery patch is described for non-invasively delivering macromolecular drugs directly to the circulatory system of a user. The patch includes multiple sealed reservoirs formed therein, the sealed reservoirs containing the macromolecular drugs which are entrapped within one of a dissolvable polymer matrix using one of nanoparticles or nanofibers or a thermo-responsive hydrogel. The macromolecular drugs being released from the sealed reservoirs and the entrapping material by activating one or more electrically addressable microheating units.

Abstract: The present invention relates to anti-matriptase antibodies and immunoconjugates of anti-matriptase antibodies with cytotoxic agents and the use thereof for killing or inhibiting the growth of matriptase-expressing cancer cells, such as those of multiple myeloma and breast cancers. In particular, immunoconjugates comprising an anti-matriptase monoclonal antibody and anticancer agents such as auristatin, including monomethyl auristatin E (MMAE) and monomethyl auristatin F (MMAF) are introduced, which have potent antitumor activity in vivo. Moreover, importantly; there was no weight loss or other evidence of toxicity in the animals, indicating that no significant free drug was released into the circulation from the conjugate. The present invention also provides compositions comprising these new immunoconjugates and use of them for treatment of malignancies comprising cells that express matriptase.

Abstract: A method of treating cancer-related cognitive decline (CRCD) in a patient, in which the method comprises administering to the patient an effective amount of an inhibitor of receptor for advanced glycation endproducts (RAGE). The inhibitor of RAGE may be administered as a single dose or as multiple doses before the administration of the cancer therapy, during the administration of the cancer therapy, after the administration of the cancer therapy, or a combination thereof. Administration of the inhibitor of RAGE may improve attention, processing speed, executive functioning, learning, memory, or a combination thereof, of the patient as compared to patients who are not administered the inhibitor of RAGE.

Abstract: Provided herein are methods for treating fibrosis (e.g. pancreatic fibrosis) in a subject. Some methods comprise administering to a subject having pancreatic fibrosis an effective amount of a CCK receptor inhibitor.

Abstract: Embodiments of the present systems and methods may provide techniques for synthesizing speech in any voice in any language in any accent. For example, in an embodiment, a text-to-speech conversion system may comprise a text converter adapted to convert input text to at least one phoneme selected from a plurality of phonemes stored in memory, a machine-learning model storing voice patterns for a plurality of individuals and adapted to receive the at least one phoneme and an identity of a speaker and to generate acoustic features for each phoneme, and a decoder adapted to receive the generated acoustic features and to generate a speech signal simulating a voice of the identified speaker in a language.