LLMs as virtual instruments for drug formulation

LLMs as virtual instruments for drug formulation

An evaluation of how large language models can use structured formulation data and in-context learning to predict key SEDDS properties without model retraining.

An evaluation of how large language models can use structured formulation data and in-context learning to predict key SEDDS properties without model retraining.

‹ Agentic systems for sample-efficient drug formulation design

Self-driving laboratories: A paradigm shift in nanomedicine development ›