Microbial diversity as a foundation for biological AI

The diversity of microbes reflects how cells adapt, interact and evolve across diverse environmental contexts and represents an unparalleled resource for training biological AI models. This microbial diversity can support models that go beyond sequence to capture and design biological function across systems.

Authors

Zachary Flamholz (ORCID: https://orcid.org/0000-0002-0129-8836)
Libusha Kelly

Institutions

Albert Einstein College of Medicine (US)

Publication Details

Journal: EMBO Reports
Published: 2026-03-09
DOI: https://doi.org/10.1038/s44319-026-00723-6
Primary Topic: Bacterial biofilms and quorum sensing
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Marsden Fund

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article

Microbial diversity as a foundation for biological AI

Zachary Flamholz, Libusha Kelly

Mar 9, 2026

EMBO Reports

Bacterial biofilms and quorum sensing

article

Microbial diversity as a foundation for biological AI

Zachary Flamholz, Libusha Kelly

March 9, 2026article en

Abstract

EMBO Reports

Albert Einstein College of Medicine (US)

Marsden Fund

Life in Land

Openalex Percentile: Top 28%

Bacterial biofilms and quorum sensing

DOI Open Access PDF OpenAlex

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Microbial diversity as a foundation for biological AI — Zachary Flamholz, Libusha Kelly · EMBO Reports (2026) | TGRS Research Map | TGRS