The development of natural language analysis, understanding, and generation techniques, along with the ever-growing scientific literature, open up new opportunities to support research achievements. As an example, the medical literature on the breakthrough CAR-T cancer therapy will be discussed, presenting it as a topic requiring computational support due to the multitude of unknowns surrounding it.
The aim is to test whether selected methods, such as a scientific discovery engine built on HPC infrastructure and cloud solutions, as well as machine learning algorithms, including GenAI, can improve the identification of novel insights.
