Clinical trials need to recruit a sufficient number of volunteer patients to demonstrate the
statistical power of the treatment (eg, a new drug) in curing a certain disease. Clinical trial …

In drug discovery, predicting the absorption, distribution, metabolism, excretion, and toxicity
(ADMET) properties of small-molecule drugs is critical for ensuring safety and efficacy …

Bringing a novel drug from the original idea to market typically requires more than ten years
and billions of dollars. To alleviate the heavy burden, a natural idea is to reuse the approved …

Large Language Models (LLMs) and multi-agent systems have shown impressive
capabilities in natural language tasks but face challenges in clinical trial applications …

Machine learning (ML) exhibits promise in the clinical domain. However, it is constrained by
data scarcity and ethical considerations, as the generation of clinical trials presents …

Clinical trial research is imperative to find new treatments for various diseases or conditions.
However, as trials have become more complex, a significant number are experiencing …