Publications by authors named "Jon Albo"
Article Synopsis
- - M2D2 is a two-stage machine learning pipeline that helps discover effective antimicrobial drug combinations, aiming to tackle drug resistance without the need for costly omics data.
- - It enhances the accuracy of identifying drug targets by using both experimental and computational methods, and provides insights into how different drugs interact with each other.
- - The framework was validated with experiments involving 946 combinations of approved drugs and antibiotics, revealing promising synergies, including a notable combination of a cerebrovascular drug and penicillin, while also confirming these findings through genome-wide CRISPR screens.
Liquid handling is a fundamental capability for many scientific experiments. Previously, we introduced the Surface Patterned Omniphobic Tiles (SPOTs) platform, which enables manipulation of hundreds to thousands of independent experiments without costly equipment or excessive consumable expenses. However, the SPOTs platform requires a custom coating formulation and lacks robustness.
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