When an antibiotic fails: MIT scientists are using AI to target "sleeper" bacteria
Briefly

Resistance is happening more over time, and recurring infections are due to this dormancy. Machine learning can help screen compounds lethal to dormant bacteria, aiding antibiotic discovery efforts.
Ancient bacterial strains have shown 'sleeper-like' resilience, surviving in energy-saving states for millions of years. Understanding these mechanisms informs modern antibiotic research.
MIT's James J. Collins utilizes AI to discover new antibiotics, aiming to expand available treatments. This approach seeks to address the stagnant progress in antibiotic discovery since the 1970s.
Read at MIT News | Massachusetts Institute of Technology
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