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Hammack's automated high-throughput screening system successfully bridges quantum computing tooling with biotech applications, accelerating the development of bacteriophage therapies for antibiotic-resistant bacteria. By leveraging AI-driven robotics to test millions of phage-host combinations, this approach overcomes historical limitations regarding narrow host ranges and has already advanced to clinical trials. The methodology demonstrates how quantum information science clusters can be repurposed to rapidly evaluate critical components for both qubit design and biological diagnostics.
Sursă care acoperăQuantum Zeitgeist
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Hammack’s Tool Tests Thousands of Candidates for Best Results

Quantum Zeitgeist7 min de cititArticolul și perspectiva sunt în engleză.

Aeron Hammack develops automated tools to rapidly test thousands of candidates, from quantum computing components to viruses fighting antibiotic.

Aeron Tynes Hammack, Interim Facility Director of the Nanofabrication Facility at the Molecular Foundry, is applying tools developed for quantum computing to a surprising new challenge: combating antibiotic resistance. Hammack is leveraging a high-throughput screening process, co-founded with Nick Conley at EpiBiome, to accelerate the development of bacteriophage therapies, viruses that target and destroy antibiotic-resistant bacteria. This work has already progressed to clinical trials, with biotech company Locus Biosciences evaluating a phage-based treatment developed using Hammack’s automated system. A recent paper published in Nature Communications describes the automated process that he built at EpiBiome, the biotech company he co-founded with Nick Conley, that was brought to full production scale by researchers at Locus Biosciences. “Phage therapy predates small-molecule antibiotics,” Hammack notes, explaining that modern diagnostics now enable the precision needed to overcome historical limitations of this century-old approach. The automated…

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