Abstract: Contemplated systems and methods use identification and classification of somatic single nucleotide variants found in a primary tumor and metastases to determine phylogeny of the metastases.

Abstract: Authentication tokens, systems, and methods are described. An illustrative method is disclosed to include receiving an electronic file including a digital image, receiving biometric information that is associated with a person, modifying the electronic file with the biometric information such that one or more pixels in the digital image are replaced with the biometric information, and storing the modified electronic file as a digital authentication token to be used in connection with authorized publications of original digital work.

Abstract: Contemplated systems and methods use high-accuracy in silico HLA analysis to so establish a transplant match database suitable for transplantation, and particularly stem cell and solid organ transplant.

Abstract: Systems and methods for prediction of the treatment outcome for immune therapy are presented in which omics data of a patient tumor sample are used. Most typically, the omics data are processed to identify mutational signatures (especially APOBEC/POLE signatures), immune checkpoint expression, and MSI status as leading indicators to predict the treatment outcome for immune therapy. Such prediction advantageously integrates various parameters that would otherwise, when individually considered, skew prediction outcome.

Abstract: Disclosed herein are methods of identifying homologous recombination deficiency (HRD) in omics data, comprising generating a mutational spectrum from omics data; and using the mutational spectrum in a trained model to identify HRD. Further disclosed herein are methods of treating a tumor that has HRD score indicating significant HRD events, comprising: obtaining omics data from a tumor sample and generating a mutational spectrum from omics data; using the mutational spectrum in a trained model to identify HRD in the omics data from the tumor sample; identifying the cancer as likely responsive to treatment with a PARP inhibitor upon determination of HRD; and administering a PARP inhibitor treatment for the tumor upon determination of a high HRD score.

Abstract: Contemplated systems and methods use identification and classification of somatic single nucleotide variants found in a primary tumor and metastases to determine phylogeny of the metastases.

Abstract: Authentication tokens, systems, and methods are described. An illustrative method is disclosed to include receiving an electronic file including a digital image, receiving biometric information that is associated with a person, modifying the electronic file with the biometric information such that one or more pixels in the digital image are replaced with the biometric information, and storing the modified electronic file as a digital authentication token to be used in connection with authorized publications of original digital work.

Abstract: Systems and methods for prediction of the treatment outcome for immune therapy are presented in which omics data of a patient tumor sample are used. Most typically, the omics data are processed to identify mutational signatures (especially APOBEC/POLE signatures), immune checkpoint expression, and MSI status as leading indicators to predict the treatment outcome for immune therapy. Such prediction advantageously integrates various parameters that would otherwise, when individually considered, skew prediction outcome.

Abstract: Healthcare object (HCO) discriminator systems and methods are presented. Systems can obtain a digital representation of a scene via a sensor interface. An HCO discriminator platform analyzes the digital representation to discriminate objects within the scene as being associated with a type of HCO or as being unrelated to a type of HCO. Once the HCO recognition platform determines that a type of HCO is relevant, it instantiates an actual HCO. The HCO can be routed to one or more destinations based on routing rules generated from a template or based on the manner in which the objects in the scene were discriminated.

Abstract: Healthcare object (HCO) discriminator systems and methods are presented. Systems can obtain a digital representation of a scene via a sensor interface. An HCO discriminator platform analyzes the digital representation to discriminate objects within the scene as being associated with a type of HCO or as being unrelated to a type of HCO. Once the HCO recognition platform determines that a type of HCO is relevant, it instantiates an actual HCO. The HCO can be routed to one or more destinations based on routing rules generated from a template or based on the manner in which the objects in the scene were discriminated.

Abstract: A method of preparing a vaccine includes providing an immune epitope database; providing a neural network; receiving data corresponding to at least one protein into the neural network; receiving data corresponding to one or more candidate peptides corresponding to potential cleavage products of the at least one protein, or determining, using the neural network, data corresponding to one or more candidate peptides corresponding to potential cleavage products of the at least one protein; calculating, using the neural network, a probability of cleavage of the protein to result in each of the one or more candidate peptides; and outputting a signal corresponding to the calculated probability. An architecture having two channel output, i.e., output of a C-terminal cleavage and an N-terminal cleavage, is described. Related devices, apparatuses, systems, techniques, articles and non-transitory computer-readable storage medium are also described.

Abstract: Healthcare object (HCO) discriminator systems and methods are presented. Systems can obtain a digital representation of a scene via a sensor interface. An HCO discriminator platform analyzes the digital representation to discriminate objects within the scene as being associated with a type of HCO or as being unrelated to a type of HCO. Once the HCO recognition platform determines that a type of HCO is relevant, it instantiates an actual HCO. The HCO can be routed to one or more destinations based on routing rules generated from a template or based on the manner in which the objects in the scene were discriminated.

Abstract: Contemplated systems and methods use high-accuracy in silico HLA analysis to so establish a transplant match database suitable for transplantation, and particularly stem cell and solid organ transplant.

Abstract: Certain universal neoepitopes and cancer specific neoepitopes and methods therefor are presented that may be used in immunotherapy and cancer diagnosis. Preferred therapeutic and diagnostic compositions include antibodies or fragments thereof that bind to neoepitopes on cancer cells.

Abstract: Contemplated systems and methods use high-accuracy in silico HLA analysis of omics data of donor tissue samples to so establish a transplant match database suitable for transplantation, and particularly stem cell and solid organ transplant, including identification of a donor tissue sample as being compatible with a recipient having a matching HLA type.

Abstract: Healthcare object (HCO) discriminator systems and methods are presented. Systems can obtain a digital representation of a scene via a sensor interface. An HCO discriminator platform analyzes the digital representation to discriminate objects within the scene as being associated with a type of HCO or as being unrelated to a type of HCO. Once the HCO recognition platform determines that a type of HCO is relevant, it instantiates an actual HCO. The HCO can be routed to one or more destinations based on routing rules generated from a template or based on the manner in which the objects in the scene were discriminated.

Abstract: Authentication tokens, systems, and methods are described. An illustrative method is disclosed to include receiving an electronic file including a digital image, receiving biometric information that is associated with a person, modifying the electronic file with the biometric information such that one or more pixels in the digital image are replaced with the biometric information, and storing the modified electronic file as a digital authentication token to be used in connection with authorized publications of original digital work.

Abstract: Certain universal neoepitopes and cancer specific neoepitopes and methods therefore are presented that may be used in immunotherapy and cancer diagnosis. Preferred therapeutic and diagnostic compositions include antibodies or fragments thereof that bind to neoepitopes on cancer cells.

Abstract: Systems and methods for in silico prediction of HLA type of a patient are presented in which patient sequence reads and a reference sequence with known and distinct HLA alleles are used in a de Bruijn graph. A composite match score is then used to rank HLA alleles, thus providing a first HLA type. A second HLA type is identified by re-ranking using an adjusted composite match score.

Abstract: Authentication tokens, systems, and methods are described. An illustrative method is disclosed to include receiving an electronic file including a digital image, receiving biometric information that is associated with a person, modifying the electronic file with the biometric information such that one or more pixels in the digital image are replaced with the biometric information, and storing the modified electronic file as a digital authentication token to be used in connection with authorized publications of original digital work.