Machine Learning for COVID-19 Testing
Last June, the FDA authorized the use of “pooled testing” for identifying COVID-19 infections. The method allows up to four swabs to be tested at once. A “bundled sample.” This strategy is expected to expand testing to larger sections of the population. If the sample comes back positive, then all the individuals in that sample will need to be tested separately. If, however, the sample comes back clean, that’s four people who do not need to be tested further, saving public health officials time and money. The FDA said it expects pooled testing to allow virus identification with fewer tests, which means more tests could be run at once, fewer testing supplies would be consumed and patients could likely receive the results more quickly. This strategy will be most efficient in areas where the outbreak is under control, meaning where only a small percentage of test subjects are expected to be infected, the FDA acknowledged. Researchers from the University of California, Berkeley, ...