A method for matching production of FBA metabolism to supply and demand within a larger production network is described herein. An objective function of FBA metabolism is modified to include an upstream supply generated in upstream sub-units, as well as a downstream demand generated within downstream sub-units in the production network. FBA metabolism and the upstream and downstream sub-units are iteratively solved with updated initial conditions, producing a time series solution to the production network.

A method for matching production of FBA metabolism to supply and demand within a larger production network is described herein. An objective function of FBA metabolism is modified to include an upstream supply generated in upstream sub-units, as well as a downstream demand generated within downstream sub-units in the production network. FBA metabolism and the upstream and downstream sub-units are iteratively solved with updated initial conditions, producing a time series solution to the production network.

A method for validating a preparation of at least one tooth in a prepared set of teeth for determining whether the prepared tooth is capable of accepting a dental restoration includes obtaining a virtual dental preparation guide configured for validating the preparation of the at least one tooth; obtaining a digital 3D representation of the prepared set of teeth; visualizing the virtual dental preparation guide together with the digital 3D representation of the prepared set of teeth; and validating from the visualization of the virtual dental preparation guide together with the digital 3D representation of the prepared set of teeth whether the prepared at least one tooth is shaped such that it can accept the dental restoration.

A method for validating a preparation of at least one tooth in a prepared set of teeth for determining whether the prepared tooth is capable of accepting a dental restoration includes obtaining a virtual dental preparation guide configured for validating the preparation of the at least one tooth; obtaining a digital 3D representation of the prepared set of teeth; visualizing the virtual dental preparation guide together with the digital 3D representation of the prepared set of teeth; and validating from the visualization of the virtual dental preparation guide together with the digital 3D representation of the prepared set of teeth whether the prepared at least one tooth is shaped such that it can accept the dental restoration.

The present disclosure provides methods for predicting phenotypic performance of a host cell in industrial culture. Specifically, the present disclosure provides methods for predicting phenotypic performance of a host cell in industrial culture by determining the metabolite fingerprinting profile of a host cell in small lab-scale culture and applying said profile to a predictive model of phenotypic performance.

The present disclosure provides methods for predicting phenotypic performance of a host cell in industrial culture. Specifically, the present disclosure provides methods for predicting phenotypic performance of a host cell in industrial culture by determining the metabolite fingerprinting profile of a host cell in small lab-scale culture and applying said profile to a predictive model of phenotypic performance.

Provided are biomarkers and a prediction method for predicting age in days in pigs. The biomarkers for predicting age in days of pigs include one or more CpG sites with different methylation levels, and the different methylation levels of the CpG sites correspond to different ages in days of pigs. An Elastic Net linear regression model is constructed by using the methylation levels of the CpG sites and the weights corresponding to each CpG site, thereby predicting age in days of pigs to be tested. The above prediction method has high accuracy, and is accurate and reliable in detecting age in days of pigs, which fills the gap in the age prediction model of pigs based on DNA methylation, and provides an ideal model for investigating important scientific issues such as development and aging of human and animals.

Systems and methods for rapid determination of microorganism growth and antimicrobial agent susceptibility and/or resistance are disclosed.

Systems and methods for rapid determination of microorganism growth and antimicrobial agent susceptibility and/or resistance are disclosed.

Aspects of the invention include methods and systems for identifying somatic mutational signatures for detecting, diagnosing, monitoring and/or classifying cancer in a patient known to have, or suspected of having cancer. In various embodiments, the methods of the invention use a non-negative matrix factorization (NMF) approach to construct a signature matrix that can be used to identify latent signatures in a patient sample for detection and classification of cancer. In some embodiments, the methods of the invention may use principal components analysis (PCA) or vector quantization (VQ) approaches to construct a signature matrix.