New Drug

Research into new drug development is rapidly leveraging artificial intelligence, particularly large language models (LLMs) and graph neural networks, to accelerate and optimize the drug discovery process. Current efforts focus on improving *de novo* drug design, predicting drug-target interactions and synergy, and identifying potential adverse effects using diverse data sources including social media and clinical trial results. This AI-driven approach aims to significantly reduce the time and cost associated with traditional drug development, ultimately leading to faster and more efficient delivery of new therapeutics.