Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias

1 code implementation • 9 May 2024 • Shan Chen, Jack Gallifant, Mingye Gao, Pedro Moreira, Nikolaj Munch, Ajay Muthukkumar, Arvind Rajan, Jaya Kolluri, Amelia Fiske, Janna Hastings, Hugo Aerts, Brian Anthony, Leo Anthony Celi, William G. La Cava, Danielle S. Bitterman

Large language models (LLMs) are increasingly essential in processing natural languages, yet their application is frequently compromised by biases and inaccuracies originating in their training data.

Data Visualization Language Modelling +1

ViralFP: A webserver of viral fusion proteins

no code implementations • 26 Mar 2021 • Pedro Moreira, Ana Marta Sequeira, Sara Pereira, Rúben Rodrigues, Miguel Rocha, Diana Lousa

Viral fusion proteins are attached to the membrane of enveloped viruses (a group that includes Coronaviruses, Dengue, HIV and Influenza) and catalyze fusion between the viral and host membranes, enabling the virus to insert its genetic material into the host cell.