Back in the ancient days of machine learning, before you could use large language models (LLMs) as foundations for tuned models, you essentially had to train every possible machine learning model on ...

The field of preclinical drug development has seen remarkable advancements in recent years, particularly in the development of in vitro models. Such models are helping to bridge the gap between ...

The landscape of drug development is rapidly evolving, with a notable shift towards human-relevant, predictive, animal-free models and in vitro innovations. This represents a critical step forward in ...