Back to search

Article

Towards Human-Led, Agent-Driven Autonomous Laboratories for the Life Sciences

2026-08-05

Abstract excerpt

Large language model (LLM)-based agents can increasingly support and empower human scientists in their work by reading literature, generating hypotheses, designing experiments, analyzing data, interpreting results, and drafting manuscripts. In parallel, robotics and programmable, cloud-connected laboratories have the potential to transform wet-lab operations into software-addressable infrastructure. Yet biological...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
0cd45ab9-b59c-506e-a497-71cee1c5520c
DOI
10.20944/preprints202608.0273.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Towards Human-Led, Agent-Driven Autonomous Laboratories for the Life SciencesDOI 10.20944/preprints202608.0273.v1
Select a neighboring publication to make it the new centre.