Why is Transfer Learning Important in Bioanalytical Sciences?
Bioanalytical Sciences often deal with complex biological data that require sophisticated methods for analysis. The use of transfer learning helps to overcome the challenge of limited data availability and the high cost of generating new data. By leveraging existing models, researchers can save time and resources while improving the accuracy and efficiency of their analyses.
