System and method of tuberculosis therapy
OwnerTawanda GUMBO, Magombedze GESHAMinventors
Life of this patent
Estimating the term…
Abstract
The present disclosure relates to methods, devices, and systems for treating a patient with tuberculosis. In an aspect of the present disclosure, a method includes receiving patient data corresponding to a TB patient. The patient data is associated with sputum time-to-positivity (TTP) data associated with a time period. The method further includes identifying, based on the patient data, a kill rate of semidormant/persistent (Ys) Mycobacterium tuberculosis. The method also includes determining a treatment response prediction result based on the kill rate and generating an output based on the treatment response prediction result.
Claims44
A method for treating a patient with tuberculosis, the method comprising:
- receiving patient data corresponding to a TB patient, the patient data associated with sputum time-to-positivity (TTP) data associated with a time period;
- identifying, based on the patient data, a kill rate of semidormant/persistent (γs) Mycobacterium tuberculosis;
- determining a treatment response prediction result based on the kill rate;
- and
- generating an output based on the treatment response prediction result.
A system for treating a patient with tuberculosis, the system comprising:
- a receiver configured to receive patient data corresponding to a TB patient, the patient data associated with sputum time-to-positivity (TTP) data associated with a time period;
- and
- a processor coupled to the receiver and configured to:
- identify, based on the patient data, a kill rate of semidormant/persistent (γs) Mycobacterium tuberculosis;
- determine a treatment response prediction result based on the kill rate;
- and
- generate an output based on the treatment response prediction result.
A non-transitory computer readable medium comprising instructions that, when executed by a processor, cause the processor to:
- identify, based on patient data corresponding to a TB patient, a kill rate of semidormant/persistent (γs) Mycobacterium tuberculosis, the patient data associated with sputum time-to-positivity (TTP) data associated with a time period;
- determine a treatment response prediction result based on the kill rate;
- and
- generate an output based on the treatment response prediction result.
A non-transitory computer readable medium comprising instructions that, when executed by a processor, cause the processor to:
- identify, based on patient data corresponding to a TB patient, an initial bacterial burden (B(0)) associated with Mycobacterium tuberculosis, the initial bacterial burden (B(0)) associated with a sputum time-to-positivity (TTP) value;
- determine a treatment response prediction result based on the initial bacterial burden (B(0));
- and
- generate an output based on the treatment response prediction result.
A method for treating a patient with tuberculosis, the method comprising:
- receiving patient data corresponding to a TB patient;
- identifying, based on the patient data, a concentration of an anti-TB drug in a patient;
- performing a comparison between the concentration and one or more thresholds;
- and
- generating an output based on the comparison.
Dependencies are inferred from the claim text.