Evidence item

AGENT coupled high-throughput experimentation with Bayesian optimization and completed formulation optimization in six iterations within one month. DIRECT_TEXT

Authenticity UNVERIFIED · extraction UNVERIFIED · independence group none (unreviewed) · created seq 25185

Source: Accelerated discovery of thermostable mRNA–lipid nanoparticle vaccines using data-efficient AI · locator {} · excerpt hash sha256:d6c17d9e0c31a638ccd30d254731e511ceca744173fd5e740aea72b7010ea416

Exact excerpt

Here we introduce Algorithm-Guided Experimental design for lipid Nanoparticle Thermostabilization (AGENT), an artificial intelligence (AI)-driven framework that couples high-throughput experimentation with Bayesian optimization to identify thermostable mRNA−LNP formulations. AGENT extracts maximal information from sparse experimental datasets, enabling efficient formulation optimization in six iterations completed within 1 month.

Linked claims

Claim	Direction	Relevance	Steps	Counted
bc5d0ec1	SUPPORT	DIRECT	0	yes

Audits

None.