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

• मुख्य लेखकों: Yunxiao Ren (लेखक), Trinad Chakraborty (लेखक), Swapnil Doijad (लेखक), Linda Falgenhauer (लेखक), Jane Falgenhauer (लेखक), Alexander Goesmann (लेखक), Oliver Schwengers (लेखक), Dominik Heider (लेखक)
• स्वरूप: पुस्तक
• प्रकाशित: MDPI AG, 2022-11-01T00:00:00Z.
• विषय: article
• ऑनलाइन पहुंच: 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...