A Raman spectroscopy based system and method for examination and interrogation provides a method for rapid and cost effective screening of various protein-based compounds such as bacteria, virus, drugs, and tissue abnormalities. A hand-held spectroscope includes a laser and optical train for generating a Raman-shifting sample signal, signal processing and identification algorithms for signal conditioning and target detection with combinations of ultra-high resolution micro-filters and an imaging detector array to provide specific analysis of target spectral peaks within discrete spectral bands associated with a target pathogen.

A Raman spectroscopy based system and method for examination and interrogation provides a method for rapid and cost effective screening of various protein-based compounds such as bacteria, virus, drugs, and tissue abnormalities. A hand-held spectroscope includes a laser and optical train for generating a Raman-shifting sample signal, signal processing and identification algorithms for signal conditioning and target detection with combinations of ultra-high resolution micro-filters and an imaging detector array to provide specific analysis of target spectral peaks within discrete spectral bands associated with a target pathogen.

A biological system for generating and preserving a repository of personalized, humanized transplantable cells, tissues, and organs for transplantation, wherein the biological system is biologically active and metabolically active, the biological system having genetically reprogrammed cells, tissues, and organs in a non-human animal for transplantation into a human recipient, wherein the non-human animal does not present one or more surface glycan epitopes and specific sequences from the wild-type swine's SLA is replaced with a synthetic nucleotides based on a human captured reference sequence from a human recipient's HLA.

A biological system for generating and preserving a repository of personalized, humanized transplantable cells, tissues, and organs for transplantation, wherein the biological system is biologically active and metabolically active, the biological system having genetically reprogrammed cells, tissues, and organs in a non-human animal for transplantation into a human recipient, wherein the non-human animal does not present one or more surface glycan epitopes and specific sequences from the wild-type swine's SLA is replaced with a synthetic nucleotides based on a human captured reference sequence from a human recipient's HLA.

Methods and systems are for identifying the cell type of an unknown microorganism. The device includes: an apparatus for culturing unknown organism(s), a diagnostic data acquisition tool and a computer program. The method includes: incubation of the sample with a growth medium (with or without toxins), and an analysis of the metabolites detected in the sample. The computer system compares the results collected from the device to reference metabolite profiles.

Methods and systems are for identifying the cell type of an unknown microorganism. The device includes: an apparatus for culturing unknown organism(s), a diagnostic data acquisition tool and a computer program. The method includes: incubation of the sample with a growth medium (with or without toxins), and an analysis of the metabolites detected in the sample. The computer system compares the results collected from the device to reference metabolite profiles.

Methods and devices for detecting a target agent of interest, e.g., a pathogen, in a sample are described herein. In some embodiments, a sensor is provided that can include a substrate, a graphene layer disposed on a surface of said substrate, and a protein bound to said graphene layer. The protein can be capable of binding to one or more target agents of interest, e.g., pathogens, etc. The binding of the protein to the one or more target agents of interest can generate a change in an electrical property of the graphene layer.

Methods and devices for detecting a target agent of interest, e.g., a pathogen, in a sample are described herein. In some embodiments, a sensor is provided that can include a substrate, a graphene layer disposed on a surface of said substrate, and a protein bound to said graphene layer. The protein can be capable of binding to one or more target agents of interest, e.g., pathogens, etc. The binding of the protein to the one or more target agents of interest can generate a change in an electrical property of the graphene layer.

A machine learning classifier that diagnoses autism spectrum disorder (ASD) is described that transforms data obtained from a patient medical history and a patients saliva into data that correspond to a test panel of features, the data for the features including human microtranscriptome and microbial transcriptome data, wherein the transcriptome data are associated with respective RNA categories for ASD. The classifier classifies the transformed data by applying the data to the classifier that has been trained to detect ASD using training data associated with the features of the test panel. The trained classifier includes vectors that define a classification boundary and predicts a probability of ASD based on results of the classifying.

The present invention relates to methods for diagnosing heart disease in a canine, including early stage degenerative mitral valve disease, by using microbiome including specific genera and species. In one embodiment, the method can comprise measuring a normalized relative abundance of fecal bacteria including Faecalibacterium, Turicibacter, Streptococcus, E. Coli, Blautia, Fusobacterium, and C. hiranonis, calculating a dysbiosis index based on the fecal bacteria, and determining that the canine has heart disease if the dysbiosis index is greater than −1.0.