Abstract: BioMEMS/NEMS appliance biologically monitors an individual, using biosensors to detect cellular components. Data is simulated or analyzed using systems-biology software, which provides diagnostic or therapeutic guidance.

Abstract: Provided is a technique for computing a brain function index for diagnosing a mental disorder at the individual level, which can be applied to even a child around school age. A brain function index computing device includes a brain activity value calculation processing unit configured to calculate from brain activity signals of a subject a first brain activity value of a region including the meddle frontal gyrus (MFG) and a second brain activity value of a region including the inferior frontal gyrus (IFG); and a brain function index calculation processing unit configured to calculate a brain function index associated with a mental disorder using the first brain activity value and the second brain activity value.

Abstract: The invention provides a computer implemented method of quantifying the quality of packing for a residue comprising one or more residue atoms in a first protein in a first conformation, the method comprising: (a) calculating one or more close contact potentials based on a distance between the one or more residue atoms and one or more environment atoms, (b) calculating a contact area of the one or more residue atoms that is exposed to the one or more environment atoms and (c) calculating a close contact surface density (CCSD) by dividing the sum of the one or more close contact potentials by the contact area.

Abstract: Embodiments disclosed herein relate to methods and systems for performing an automated assay, and particularly to performing an assay on a plurality of samples on an automated instrument.

Abstract: Wireless electrochemical measurements methods using minimally invasive micro-sensors that monitor response of cells to specific analytes are described. Micro-actuators integrated on a same chip as the micro-sensors are used to provide closed loop in-vivo local therapy on demand. An in-vivo bio-electronic system that can monitor the health of cell colonies and accordingly dispense corresponding therapeutic drugs is also described.

Abstract: A method is provided for establishing resistance characteristics of a biological indicator in a sterilization process using a sterilant vapor. The method includes the step of creating a biological indicator inactivation profile by obtaining differential sterilant vapor pressure values in a sterilization chamber during sterilant vapor injection and determining D-values as a function of the differential sterilant vapor pressure values obtained. The biological indicator inactivation profile, when represented as a function of differential sterilant vapor pressure, may be linear over the full range of inactivation. The biological indicator inactivation profile may be created by injecting the sterilant vapor into the sterilization chamber and measuring biological indicator survival at different differential sterilant vapor pressure values.

Abstract: Disclosed herein are methods, devices and systems of treating dysfunctional biochemical pathway(s) using an individualized treatment plan (ITP) of metabolic support intervention(s) for a patient. The ITP has metabolic support intervention(s) that restore proper functioning of biochemical pathway(s) correcting dysfunction(s) therein. Methods can include determining if the biochemical pathway(s) are dysfunctional by subjecting, via a bio-communication device, the patient to a noninvasive test that includes simulating one or more stimuli that are indicative of the biochemical pathway(s)' s functioning.

Abstract: A hemolysis detection method and system includes measuring a conductance of a blood sample in a sample test module at a plurality of multiple-frequency AC inputs provided by a sine-wave generator module, calculating an immittance value for each of the plurality of multiple-frequency AC inputs received from a multichannel A/D converter module using a computer processing module, and subjecting each immittance value calculated to a function that maps immittance values to either lysed blood levels or hematocrit levels residing in the processing module and applying further processing residing in a memory module to produce respective percent-lysed value or hematocrit value of the blood sample.

Abstract: A method for diagnosing and treating an immune microbial dysfunction in a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the immune microbial dysfunction based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset, wherein the characterization is diagnostic of at least one of Crohn's disease, inflammatory bowel disease (IBD), irritable bowel syndrome (IBS), ulcerative colitis, and celiac disease; based upon the characterization, generating a therapy model configured to correct the immune microbial dysfunction; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A method for at least one of characterizing, diagnosing, and treating a mental health associated condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the mental health associated condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the mental health associated condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A method for at least one of characterizing, diagnosing, and treating a locomotor system condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the locomotor system condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the locomotor system condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A method for at least one of characterizing, diagnosing, and treating an endocrine system condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the endocrine system condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the endocrine system condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: Three dimensional tumor volume is analyzed spatially by genomics and transcriptomics, or both. Thin sections are cut with a microtome using a tape transfer technique so that the thin tissue sections remain without any distortion or deformation, in sequence relative to their position in the original tissue, so that a three-dimensional coordinate system can be anchored to each tissue section. Small samples of tissue are extracted or punched from very precise locations in the supports using the coordinate system as a grid, with known x,y,z location, and subjected to genomic sequencing. Sequence data is analyzed using the three dimensional coordinate system, so that the original tissue is thereby analyzed as a three dimensional system volume. At the same time, alternate tissue sections (or the same sections from which samples have been extracted with sample punches) can be subjected to staining and imaging to do histochemical analysis.

Abstract: A method for at least one of characterizing, diagnosing, and treating a mental health associated condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the mental health associated condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the mental health associated condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A method for at least one of characterizing, diagnosing, and treating a locomotor system condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the locomotor system condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the locomotor system condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A method for at least one of characterizing, diagnosing, and treating a locomotor system condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the locomotor system condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the locomotor system condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A method for at least one of characterizing, diagnosing, and treating a locomotor system condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the locomotor system condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the locomotor system condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A method for at least one of characterizing, diagnosing, and treating an endocrine system condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the endocrine system condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the endocrine system condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A tag database establishment section converts, based on information such as an amino acid sequence of an identified peptide and m/z of a peak, a sequence tag indicating a partial sequence and information related to the tag into a database and creates a tag database. When MS2 spectrum information is obtained by measuring a target peptide, a sequence tag acquisition section executes, on the tag database, a search based on coincidence of the m/z of the peak and the like and extracts a sequence tag with high reliability. A peptide identification section performs, based on an amino acid sequence of the sequence tag, m/z of a precursor ion, and the like, a search by a sequence tag search method taking into account a post-translational modification or a variation and identifies a peptide.

Abstract: A method for at least one of characterizing, diagnosing, and treating an endocrine system condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the endocrine system condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the endocrine system condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.