Researchers from the Harvard Medical School have developed an AI that has the ability to anticipate whether a tuberculosis (TB) strain will have a resistance to a tenth first- and second -line treatments. and second-line therapies, while the wide-and-deep model showed an aptitude for predicting the effects of extremely rare genetic mutations. The neural network that was developed can identify in a tenth of a second whether the bacterium that causes TB is drug resistant with 90% and 90% accuracy, respectively, for first- and second line drugs. Current figures suggest that 10 of new Harvard Medical School cases are resistant to multiple medications.
Researchers from the Harvard Medical School have developed an AI that has the ability to anticipate whether a tuberculosis (TB) strain will have a resistance to a tenth first- and second -line treatments. The neural network that was developed can identify in a tenth of a second whether the bacterium that causes TB is drug resistant with 90% and 90% accuracy, respectively, for first- and second line drugs. Current figures suggest that 10 of new Harvard Medical School cases are resistant to multiple medications.