Russ Altman — accepted AI-conference papers

2023

Detecting Contradictory COVID-19 Drug Efficacy Claims from Biomedical Literature

Daniel Sosa, Malavika Suresh, Christopher Potts, Russ Altman

ACL 2023short

The COVID-19 pandemic created a deluge of questionable and contradictory scientific claims about drug efficacy – an “infodemic” with lasting consequences for science and society. In this work, we argue that NLP models can help domain experts distill and understand the literature in this complex, hig…

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2021

ATOM3D: Tasks on Molecules in Three Dimensions

Raphael John Lamarre Townshend, Martin Vögele, Patricia Adriana Suriana, Alexander Derry, Alexander Powers, Yianni Laloudakis +7

NeurIPS 2021poster

Computational methods that operate on three-dimensional (3D) molecular structure have the potential to solve important problems in biology and chemistry. Deep neural networks have gained significant attention, but their widespread adoption in the biomolecular domain has been limited by a lack of eit…

Cited by 147 Source ↗code ↗Scholar ↗