摘要:
Omics patient data are analyzed using sequences or diff objects of tumor and matched normal tissue to identify patient and disease specific mutations, using transcriptomic data to identify expression levels of the mutated genes, and pathway analysis based on the so obtained omic data to identify specific pathway characteristics for the diseased tissue. Most notably, many different tumors have shared pathway characteristics, and identification of a pathway characteristic of a tumor may thus indicate effective treatment options ordinarily not considered when tumor analysis is based on anatomical tumor type only.
摘要:
Contemplated compositions and methods are directed to cancer neoepitopes and uses of such neoepitopes, especially to generate synthetic antibodies against neoepitopes that may then be employed in the manufacture of a therapeutic agent. Preferred therapeutic agents will comprise a synthetic antibody against a neoepitope, and most preferably in combination with a cellular or non-cellular component for use as a diagnostic or therapeutic agent.
摘要:
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.
摘要:
Contemplated systems and methods provide for machine learning and identification of regulatory interactions in biological pathways using a probabilistic graphical model, and especially for identification of interaction correlations among the regulatory parameters.
摘要:
Contemplated systems and methods allow for computational genomic analysis using paired-end sequence analysis and split read refinement to thereby identify high-confidence breakpoints associated with high copy numbers and orientation of rearrangements, which is then the basis for full reconstruction of double minutes (DM). In especially preferred aspects, the DM will also include an oncogene or tumor suppressor gene, and/or may be found in blood or blood derived fluids.
摘要:
Systems and methods are presented in which omics data from multiple cell or tissue samples are used to identify pathway elements that are associated with a treatment parameter of the cell or tissue (e.g., resistance towards a specific drug). So identified pathway elements are then modulated in silico in a statistical factor graph model to provide a modified data set that is re-evaluated with respect to the treatment parameter. Such systems and models are particularly useful for recommendation of multi-drug treatments for treatment-nave patients.