Spectral encoding of tissue behavior

A system configured to model tissue behavior, the system comprising:

• one or more bioreactors configured for growing a plurality of engineered tissues therein;
• and
• a control unit communicatively coupled to the one or more bioreactors, and comprising one or more processors configured to execute instructions that cause the one or more processors to:
• obtain a plurality of waveforms comprising functional responses of the plurality of engineered tissues within the one or more bioreactors over time, the plurality of engineered tissues comprising at least a first tissue group associated with a first behavior and a second tissue group associated with a second behavior;
• transform the plurality of waveforms to a corresponding plurality of spectral representations, wherein the corresponding plurality of spectral representations provide frequency-based characterizations of the functional responses of the plurality of engineered tissues;
• generate a prediction model using the corresponding plurality of spectral representations, wherein the prediction model is trained to output a probability that one or more tissues exhibit the first behavior or the second behavior based on the plurality of spectral representations;
• inputting, into the prediction model, a spectral representation of a tissue;
• outputting, by the prediction model, a prediction based on the probability indicating that the tissue exhibits the first behavior or the second behavior;
• and
• detecting, based on the prediction, a behavior of the tissue.

A non-transitory computer-readable medium storing instructions for modeling tissue behavior, the instructions which, when executed by one or more processors, cause the one or more processors to

• obtain a plurality of waveforms comprising functional responses of a plurality of engineered tissues within one or more bioreactors over time, the plurality of engineered tissues comprising at least a first tissue group associated with a first behavior and a second tissue group associated with a second behavior;
• transform the plurality of waveforms to a corresponding plurality of spectral representations, wherein the corresponding plurality of spectral representations provide frequency-based characterizations of the functional responses of the plurality of engineered tissues;
• generate a prediction model using the corresponding plurality of spectral representations, wherein the prediction model is trained to output a probability that one or more tissues exhibit the first behavior or the second behavior based on the plurality of engineered tissues;
• input into the prediction model, a spectral representation of a tissue;
• output, by the prediction model, a prediction based on the probability indicating that the tissue exhibits the first behavior or the second behavior;
• and
• detect, based on the prediction, a behavior of the tissue.

A computer-implemented method for modeling tissue behavior, the method comprising:

• obtaining, by one or more processors, a plurality of waveforms comprising functional responses of a plurality of engineered tissues within one or more bioreactors over time, the plurality of engineered tissues comprising at least a first tissue group associated with a first behavior and a second tissue group associated with a second behavior;
• transforming, by the one or more processors, the plurality of waveforms to a corresponding plurality of spectral representations, wherein the corresponding plurality of spectral representations provide frequency-based characterizations of the functional responses of the plurality of engineered tissues;
• generating, by the one or more processors, a prediction model using the corresponding plurality of spectral representations, wherein the prediction model is trained to output a probability that one or more tissues exhibit the first behavior or the second behavior based on the plurality of engineered tissues;
• inputting into the prediction model, a spectral representation of a tissue;
• outputting, by the prediction model, a prediction based on the probability indicating that the tissue exhibits the first behavior or the second behavior;
• and
• detecting, based on the prediction, a behavior of the tissue.