Antibiotic resistance poses a significant global health threat, rendering many traditional antibiotics ineffective and leading to increased mortality and healthcare costs. The conventional drug discovery process is often slow and costly, struggling to keep pace with the rapid evolution of resistant pathogens.​
Artificial intelligence (AI) has emerged as a transformative tool in drug discovery, capable of analyzing vast datasets to identify potential antibiotic candidates more efficiently than traditional methods. By leveraging machine learning algorithms, researchers can expedite the identification and development of novel antibiotics, addressing the urgent need for effective treatments against resistant bacteria.​
Recent Breakthroughs in AI-Driven Antibiotic Discovery
- Discovery of Halicin: In 2020,
