AI Model Helps Discover Targeted Antibiotic for Crohn's Disease

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Above: Entamoeba coli. Image copyright: CDC/IMAGE POINT FR/BSIP/Universal Images Group/Getty Images

The Spin

Techno-optimist narrative

AI and machine learning are among the most powerful tools in combating antimicrobial resistance (AMR), with revolutionary capabilities to process vast biomedical datasets and predict pathogen resistance patterns. These advanced technologies achieve remarkable accuracy rates of 95-98% in predicting resistance, dramatically reduce diagnostic time to just 3 hours, and have already enabled the discovery of 22 preclinical drug candidates since 2019.

Frontiers

Techno-skeptic narrative

AI drug discovery faces fundamental data quality problems that undermine its transformative potential, with inconsistent experimental methods creating batch effects that algorithms incorrectly interpret as meaningful patterns. The bias toward publishing only positive results deprives AI models of crucial failure data, while pharmaceutical companies hoard their most valuable datasets instead of sharing them for genuine scientific progress.

Nature