Miguel A. Alcantar

A White-Box Machine Learning Approach for Revealing Antibiotic Mechanisms of Action

Jason H. Yang, Sarah N. Wright, Meagan Hamblin et al. · Cell · 2019 · 321 citations · Full text

Antimicrobial Susceptibility, Machine Learning, Antibiotics +8

A CRISPR-based assay for the detection of opportunistic infections post-transplantation and for the monitoring of transplant rejection

Michael M. Kaminski, Miguel A. Alcantar, Isadora T. Lape et al. · Nature Biomedical Engineering · 2020 · 120 citations

Transplant Rejection, Transplantation, Opportunistic Infections Post-transplantation +14

Sequence-to-function deep learning frameworks for engineered riboregulators

Jacqueline A. Valeri, Katherine M. Collins, Pradeep Ramesh et al. · Nature Communications · 2020 · 105 citations · Full text

An engineered live biotherapeutic for the prevention of antibiotic-induced dysbiosis

Andrés Cubillos-Ruiz, Miguel A. Alcantar, Nina M. Donghia et al. · Nature Biomedical Engineering · 2022 · 84 citations

Antimicrobial Susceptibility, Antibiotics, Engineered Live Biotherapeutic +9

Modulating the evolutionary trajectory of tolerance using antibiotics with different metabolic dependencies

Erica J. Zheng, Ian W. Andrews, Alexandra Grote et al. · Nature Communications · 2022 · 65 citations · Full text

Biology, Antimicrobial Resistance Gene, Antibiotic Tolerance +15