A computer implemented method of generating a machine learning model for interpreting host phage response data comprising receiving datasets and labels for a host phage response, training a machine learning model and using this model to estimate the efficacy of a test phage in inhibiting growth of a test bacteria.

The present invention relates to methods for evaluating the probability that a patient's diagnosis may be treated with a particular clinical regimen or therapy.

Provided is a biological information processing method and a device, a recording medium and a program that are able to predict and control changes in the state of an organism. The expression level of molecules in an organism is measured over a specific time interval; the measured time-series data is divided into a periodic component, an environmental stimulus response component and a baseline component; constant regions of the time-series data are identified from variations in the baseline component or from the amplitude or periodic variations of the periodic component; and causal relation between the identified constant regions is identified. The relation between the external environment and variations in the internal environment is identified and from the identified causal relation between the constant regions, changes in the state of the organism are inferred.

Provided is a biological information processing method and a device, a recording medium and a program that are able to predict and control changes in the state of an organism. The expression level of molecules in an organism is measured over a specific time interval; the measured time-series data is divided into a periodic component, an environmental stimulus response component and a baseline component; constant regions of the time-series data are identified from variations in the baseline component or from the amplitude or periodic variations of the periodic component; and causal relation between the identified constant regions is identified. The relation between the external environment and variations in the internal environment is identified and from the identified causal relation between the constant regions, changes in the state of the organism are inferred.

Disclosed are engineered multicellular organisms. Also disclosed are systems and methods for designing, preparing, and utilizing the engineered multicellular organisms.

Disclosed are engineered multicellular organisms. Also disclosed are systems and methods for designing, preparing, and utilizing the engineered multicellular organisms.

Disclosed are methods for personalized treatment of tumor lesions in subject following primary tumor treatment. Disclosed are methods related to using patient specific prostate cancer dynamic model to adjust a patient's intermittent androgen deprivation therapy to determine when to pause IADT, when to resume IADT, the amount of treatment, and the rate of treatment and thereby increasing the time to progression of the tumor and thus prolonging post cancer treatment survival.

Disclosed are methods for personalized treatment of tumor lesions in subject following primary tumor treatment. Disclosed are methods related to using patient specific prostate cancer dynamic model to adjust a patient's intermittent androgen deprivation therapy to determine when to pause IADT, when to resume IADT, the amount of treatment, and the rate of treatment and thereby increasing the time to progression of the tumor and thus prolonging post cancer treatment survival.

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.

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.