Our agricultural biotech client needed a platform to search the current scientific literature to identify gene targets for desired traits from complex genomic and environmental relationships, based on genome wide association studies (GWAS).
We helped develop innovative genomic simulation techniques to predict plant traits. We trained NLP models on a large set of published scientific literature to put variant recommendations in the context of global biomedical knowledge, providing scientists with a better understanding of past studies and the competitive landscape.
