Needle in a haystack: Harnessing AI in drug patent searches and prediction.

ABSTRACT: The classification codes granted by patent offices are useful instruments for simplifying the bewildering variety of patents in existence. They are singularly unhelpful, however, in locating a specific subgroup of patents such as that of drug-related pharmaceutical patents for which no classification codes exist. Taking advantage of advances in artificial intelligence and in natural language processing in particular, we offer a new method of identifying chemical drug-related patents in this article. The aim is primarily that of demonstrating how the proverbial needle in a haystack was identified, namely through leveraging the superb pattern-recognition abilities of the BERT (Bidirectional Encoder Representations from Transformers) algorithm. We build three different databases to train our

SUBMITTER: Ribeiro LC 

PROVIDER: S-EPMC11611211 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature