The present invention relates to a method for determining one or more intrinsic properties of a DNA component from a plurality of measurements obtained over a time period from a cell culture, with each cell comprising the DNA component, wherein the DNA component is involved in transcription of one or more target signals, wherein the plurality of measurements comprises measurements relating to the density of the cell culture over the time period and measurements relating to the amount of the one or more target signals in the cell culture over the time period.

Provided herein are methods and systems for making patient-specific therapy recommendations of an anti-inflammatory therapy for patients with known or suspected cardiovascular disease, such as atherosclerosis.

Provided herein are methods and systems for making patient-specific therapy recommendations of an anti-inflammatory therapy for patients with known or suspected cardiovascular disease, such as atherosclerosis.

Provided herein are methods and systems for making patient-specific therapy recommendations of an anti-diabetic therapy for patients with known or suspected cardiovascular disease, such as atherosclerosis.

Provided herein are methods and systems for making patient-specific therapy recommendations of an anti-diabetic therapy for patients with known or suspected cardiovascular disease, such as atherosclerosis.

Provided are, inter alia, multispecific antigen binding proteins, or antigen-binding fragments thereof, comprising one or more mutations in the VH/VL domains and/or CH1/CL domains, pharmaceutical compositions comprising same, isolated nucleic acids, vectors, and host cells encoding/expressing same, method of making the multispecific antigen binding proteins, computer readable media for evaluating multispecific antigen binding proteins, and libraries.

A method and system for predicting performance of strains in processes, the strains being capable of fermentation of biomass for production of at least bio-ethanol, the method including the steps of: receiving a first process data set related to a performance of a first strain in a first process for producing bio-ethanol at a first site, receiving a second process data set related to a performance of a second strain in the first process for producing bio-ethanol at the first site, receiving a third process data set related to a performance of the first strain in a second process for producing bio-ethanol at a second site, the second site being different from the first site, and wherein the first, second and third process data sets each include one or more process profiles and/or process responses, determining a first correlation between the first process data set and the second process data set, and determining a second correlation between the first process data and the third process data, and reconstructing a fourth process data set related to a performance of the second strain in the second process for producing bio-ethanol at the second site by missing data imputation, wherein the fourth process data set is estimated based on the first correlation and the second correlation.

A method and system for predicting performance of strains in processes, the strains being capable of fermentation of biomass for production of at least bio-ethanol, the method including the steps of: receiving a first process data set related to a performance of a first strain in a first process for producing bio-ethanol at a first site, receiving a second process data set related to a performance of a second strain in the first process for producing bio-ethanol at the first site, receiving a third process data set related to a performance of the first strain in a second process for producing bio-ethanol at a second site, the second site being different from the first site, and wherein the first, second and third process data sets each include one or more process profiles and/or process responses, determining a first correlation between the first process data set and the second process data set, and determining a second correlation between the first process data and the third process data, and reconstructing a fourth process data set related to a performance of the second strain in the second process for producing bio-ethanol at the second site by missing data imputation, wherein the fourth process data set is estimated based on the first correlation and the second correlation.

Disclosed is a method of detecting synergistic drug combinations for the treatment of a cancer, comprising: culturing infected cells in a chamber: contacting the cells in with a first active agent; measuring and/or estimating the concentration of the first active agent at a first and second time point; capturing a first and second optical signal from the contacted cells at the first and second time points; analyzing the first optical signal and the second optical signal to detect cell membrane motion of the cells; analyzing the cell membrane motion to quantify the viability of the cells following contact with the first active agent thereby detecting the drug induced damage at the second time point; measuring, calculating, and/or estimating the repair rate of the cells, therapeutic threshold, rate of sensitivity of therapy, and/or clonal composition of the tumor; repeating said steps with a second active agent.

Disclosed is a method of detecting synergistic drug combinations for the treatment of a cancer, comprising: culturing infected cells in a chamber: contacting the cells in with a first active agent; measuring and/or estimating the concentration of the first active agent at a first and second time point; capturing a first and second optical signal from the contacted cells at the first and second time points; analyzing the first optical signal and the second optical signal to detect cell membrane motion of the cells; analyzing the cell membrane motion to quantify the viability of the cells following contact with the first active agent thereby detecting the drug induced damage at the second time point; measuring, calculating, and/or estimating the repair rate of the cells, therapeutic threshold, rate of sensitivity of therapy, and/or clonal composition of the tumor; repeating said steps with a second active agent.