Deep Transfer Learning Enables Robust Prediction of Antimicrobial Resistance for Novel Antibiotics

• Main Authors: Yunxiao Ren (Author), Trinad Chakraborty (Author), Swapnil Doijad (Author), Linda Falgenhauer (Author), Jane Falgenhauer (Author), Alexander Goesmann (Author), Oliver Schwengers (Author), Dominik Heider (Author)
• Format: Book
• Published: MDPI AG, 2022-11-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Antimicrobial resistance (AMR) has become one of the serious global health problems, threatening the effective treatment of a growing number of infections. Machine learning and deep learning show great potential in rapid and accurate AMR predictions. However, a large number of samples for the traini...