Deep learning transformer-based models using longitudinal electronic health records (EHRs) have shown a great success in prediction of clinical diseases or outcomes. Pretraining on a large dataset can ...
Traditional machine learning has advanced polymer discovery, yet direct generation of chemically valid and synthesizable polymers without exhaustive enumeration remains a challenge. Here we present ...
The work relies in part on a transformer model, similar to the ones that power ChatGPT. Alex Huth (left), Shailee Jain (center) and Jerry Tang (right) prepare to collect brain activity data in the ...
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