In an embodiment of the present invention, three novel human reference genome sequences were developed based on the most common population-specific DNA sequence (major allele). Methods were developed for their integration into interpretation pipelines for highthroughput whole genome sequencing.

A method is proposed for creating a virtual articulator for a jaw and the associated dentition having the following steps: image a virtual model of the teeth of the maxilla (140); image a virtual model of the teeth of the mandible (130); buccal imaging of the position and orientation of the teeth (130, 140) of the maxilla and mandible in the closed-bite position; buccal imaging of the position and orientation of the teeth (130, 140) of the maxilla and mandible in a slightly open position; computational determination of the position of the condylar articulation axis (150) relative to the teeth (130, 140) of the mandible and/or maxilla from the imaged positions and orientations; and
a virtual articulator can thereby be created without having to possess special knowledge, e.g. of the dimensions of a specific mechanical articulator or any adapter elements, or their arrangement.

Kits and methods to distinguish between false and true labor are provided. The kits and methods can utilize differences in abundance and/or differences in the rate of change in abundance of B7-H2, SORC2, TF, C1-Esterase Inhibitor, Ran, IMD-H1 and/or PGAM1, as markers of true labor.

An organism development system includes: at least one neuromorphic device including multiple sets of hardware components that each store one or parameters of neuromorphic configuration data to implement a neuron of a neural network, wherein: the neural network is configured by neuromorphic configuration data to derive a proposed genome or epigenome of a new organism meant to have a sought-for trait, and the neuromorphic configuration data is generated by training the neural network with a usage data set that includes trait data indicative of a trait and biological data indicative of a genome for each of multiple organisms; a genome or epigenome printing device to print genetic/epigenetic material of the new organism based on the proposed genome or epigenome, respectively; and a trait detection device to detect an observed trait of the new organism following its at least its generation for incorporation back into the usage data set.

A biomarker panel of 12 genes based on expression levels. Methods for calculating prognostic scores and patient ranking based on their score and divided into two equal sized cohorts. Kaplan-Meier analysis and a log-rank test were used to determine differences in survival.

A technique for analyzing a melt curve characterizing the melt of a solution comprising one or more populations of nucleic acid molecules and a constant number of fluorophores of at least first type is provided. The technique comprises obtaining a fluorescence signal descriptive of melt curve data over a temperature range, the fluorescence signal representing the intensity of the light emitted by fluorophores of said first type as a function of temperature, modeling the fluorescence signal at a plurality of temperatures within the temperature range as a sum of a first signal component representing the combined light intensity emitted by unbound fluorophores of said first type in the solution at a given temperature and a set of one or more second signal components, each representing the combined light intensity emitted by said fluorophores bound to the respective nucleic acid molecule population at the given temperature, wherein the first signal component is provided as a product of a first term representing the relative number of unbound fluorophores of said first type at the given temperature and a second term representing the emission efficiency of an unbound fluorophore of said first type at said given temperature and wherein each second signal component is provided as a product of a respective third term representing the relative number of said fluorophores bound to the respective nucleic acid molecule population at the given temperature and a respective fourth term representing the emission efficiency of said fluorophore bound to the respective nucleic acid molecule population at said given temperature, and utilizing numerical analysis to determine the values of said first, second, third and fourth terms at said plurality of temperatures such that the difference between the first fluorescence signal and the modeled fluorescence signal meets a predefined criterion

The present invention provides a set of in vitro and in silico methodologies for predicting in vivo pharmacokinetics and pharmacodynamics of multiple components; the methodologies comprise mathematical models for solving multiple unknowns which are linearly independent and/or interacting with each other. The present invention can be applied to develop phytomedicines which contain multiple active ingredients without prior identification, isolation and purification of these components.

Embodiments include obtaining a stroma liquid biopsy from a patient and detecting a pattern of dysregulation amongst the biomarkers in the stroma liquid biopsy that can be monitored to help screen, diagnose or treat the patient for cancer. The biomarkers in the stroma liquid biopsy are involved in interconnected pathways such as the coagulation pathway, acute-phase inflammation pathway, and complement pathway. Particular embodiments involve assaying for levels of biomarkers, such as neutrophil elastase, as well as subpopulations of other biomarkers, such as subpopulations of SERPIN proteins. The levels of biomarkers and/or the ratios of levels of biomarker subpopulations can be informative for predicting the cancer disease state in the patient, thereby enabling more personalized or tailored medical intervention for the patient.

Methods and systems are described to provide computerized trajectory-based methods to represent translocon-associated protein trajectories, provide proteins or protein sequences with desired translocon-associated biogenesis features, screening proteins or protein sequences to provide proteins or protein sequences with desired translocon-associated biogenesis features, screening translocon-associated biogenesis feature determinants to provide proteins or protein sequences with desired translocon-associated biogenesis features, identifying translocon-associated biogenesis feature determinants of a given protein sequence, computer-based protein sequence identification methods, computer-based methods for identifying correlations in a set of protein sequences, computer-based methods for identifying correlations between experimental data and computer-generated data in a protein sequence, and computer-based methods for determining which modifications of a protein sequence do not substantially affect a translocon-associated biogenesis feature of the protein sequence.

Various embodiments select markers for modeling epistasis effects. In one embodiment, a processor receives a set of genetic markers and a phenotype. A relevance score is determined with respect to the phenotype for each of the set of genetic markers. A threshold is set based on the relevance score of a genetic marker with a highest relevancy score. A relevance score is determined for at least one genetic marker in the set of genetic markers for at least one interaction between the at least one genetic marker and at least one other genetic marker in the set of genetic markers. The at least one interaction is added to a top-k feature set based on the relevance score of the at least one interaction satisfying the threshold.