To do no harm — and the most good — with AI in health care
Carey Beth Goldberg, Laura Adams, David Blumenthal, Patricia Flatley Brennan, Noah Brown, Atul J. Butte, Morgan Cheatham, Dave deBronkart, Jennifer Dixon, Jeffrey Drazen, Barbara J. Evans, Sara M. Hoffman, Chris Holmes, Peter Lee, Arjun Kumar Manrai, Gilbert S. Omenn, Jonathan B. Perlin, Rachel Ramoni, Guillermo Sapiro, Rupa Sarkar, Harpreet Sood, Effy Vayena, Isaac S. Kohane & the RAISE Consortium
Co-published in:
- Nature Medicine, 2024, https://doi.org/10.1038/s41591-024-02853-7
- NEJM AI, 2024;1(3), https://doi.org/10.1056/AIp2400036
Changing fitness effects of mutations through long-term bacterial evolution
Alejandro Couce, Anurag Limdi, Melanie Magnan, Siân V. Owen, Cristina M. Herren, Richard E. Lenski, Olivier Tenaillon and Michael Baym
Science, Volume 383, Issue 6681, 2024, https://doi.org/10.1126/science.add1417
Decoding the exposome: data science methodologies and implications in exposome-wide association studies (ExWASs)
Ming Kei Chung, John S House, Farida S Akhtari, Konstantinos C Makris, Michael A Langston, Khandaker Talat Islam, Philip Holmes, Marc Chadeau-Hyam, Alex I Smirnov, Xiuxia Du, Anne E Thessen, Yuxia Cui, Kai Zhang, Arjun K Manrai, Alison Motsinger-Reif, Chirag J Patel, Members of the Exposomics Consortium
Exposome, Volume 4, Issue 1, 2024, https://doi.org/10.1093/exposome/osae001
Chromosome evolution screens recapitulate tissue-specific tumor aneuploidy patterns
Emma V. Watson, Jake June-Koo Lee, Doga C. Gulhan, Giorgio E. M. Melloni, Sergey V. Venev, Rayna Y. Magesh, Abdulrazak Frederick, Kunitoshi Chiba, Eric C. Wooten, Kamila Naxerova, Job Dekker, Peter J. Park & Stephen J. Elledge
Nat Genet (2024), https://doi.org/10.1038/s41588-024-01665-2