Developing a Predictive Platform for Salmonella Antimicrobial Resistance Based on a Large Language Model and Quantum Computing
Salmonella, a common foodborne pathogen, poses public health risks due to antimicrobial-resistant strains. There’s a lack of large language models for Salmonella resistance prediction. A two-step feature-selection process and an LLM-based algorithm are proposed for accurate prediction. A quantum data augmentation algorithm is built for time complexity. A user-friendly online platform is built for online resistance prediction.
OUR UNDERWRITERS
Unrestricted financial support by:
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Antimicrobial Resistance Fighter Coalition |
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Bangalore Bioinnovation Centre |
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INTERNATIONAL FEDERATION PHARMACEUTICAL MANUFACTURERS & ASSOCIATIONS |
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BD |
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