Abstract: Disclosed herein is a computer-implemented method of identifying the presence of any of a plurality of prospective target nucleic acids in a solution containing a biological sample. The method comprises receiving amplification curve data indicative of an amplification reaction associated with at least one unknown nucleic acid present in the solution; processing the received data, wherein the processing comprises inputting input data into a machine learning model trained to identify any of the plurality of prospective target nucleic acids, wherein the input data is based on the amplification curve data and is indicative of the degree of amplification of the at least one unknown nucleic acid over time during the amplification reaction; and based on the processing, determining that the at least one unknown nucleic acid is one of the plurality of prospective nucleic acids, and thereby identifying the presence of at least one of the plurality of target nucleic acids in the solution.