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Researchers from the University of Texas, the University of Massachusetts Amherst, and the University of Texas Health Science Center have proposed that Large Language Models (LLMs) could be used to predict biological problems with minimal sample sizes and the absence of structured data. In particular, they suggest that LLMs could be used to predict drug pair synergy in different types of cancer. Drug pair synergy is the phenomenon of two drugs having a more potent therapeutic effect when used together than when used individually. Predicting the synergy of a drug pair is difficult due to the vast number of possible combinations and complexity of the underlying biological processes.
