Mentions:
Ananthanarayanan, A., Senivarapu, S., & Murari, A. (2025). Towards Causal Interpretability in Deep Learning for Parkinson’s Detection from Voice Data. medRxiv (Cold Spring Harbor Laboratory).
https://doi.org/10.1101/2025.04.25.25326311
https://www.medrxiv.org/content/10.1101/2025.04.25.25326311v3
public data
from chat on Fri.
https://www.nature.com/articles/d41586-025-00618-x
Banerji, C. R. S., Chakraborti, T., Ismail, A. A., Ostmann, F., & MacArthur, B. D. (2025). Train clinical AI to reason like a team of doctors. Nature. https://doi.org/10.1038/d41586-025-00618-x
https://www.biorxiv.org/content/10.1101/2024.05.08.593025v1
Chen, J., Xiong, C., Sun, Q., Wang, G. W., Gupta, G. P., Halder, A., Li, Y., & Li, D. (2024). Investigating spatial dynamics in spatial omics data with StarTrail. bioRxiv (Cold Spring Harbor Laboratory). https://doi.org/10.1101/2024.05.08.593025
https://www.annualreviews.org/content/journals/10.1146/annurev-biodatasci-080917-013444
McGillivray, P., Clarke, D., Meyerson, W., Zhang, J., Lee, D., Gu, M., Kumar, S., Zhou, H., & Gerstein, M. (2018). Network analysis as a grand unifier in biomedical data science. Annual Review of Biomedical Data Science, 1(1), 153–180.
https://doi.org/10.1146/annurev-biodatasci-080917-013444
https://pubmed.ncbi.nlm.nih.gov/12701331/
Barabási, A., & Bonabeau, E. (2003). Scale-Free networks. Scientific American, 288(5), 60–69.
https://doi.org/10.1038/scientificamerican0503-60
https://www.science.org/content/podcast/bats-surf-storm-fronts-and-public-perception-preprints
https://www.library.ucsb.edu/what-white-house-open-access-publishing-guidance-means-uc-researchers
QT:{{”
JB: Yeah. Actually all of the US agencies that fund research and spend more than a certain level a year have required since the year 2013 that their grantees host the manuscripts resulting from this funded work in public repositories. Because the research was funded with taxpayers money and the public had a right to read the results. There was a compromise reached in that year where the grantees and their publishers could request an embargo on the public release of these scientific papers of up to 12 months. And this was requested by the publishers for business reasons that they did not want to kind of lose their exclusivity that they have by putting these articles at least initially behind a paywall. Now there’s a new policy that is being finalized as we speak and will be go into effect by the end of this calendar year.
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0:13:49.9
JB: 2025. And it will require the immediate release in a federal public repository of articles that result from federal funding. So that’s a big change in US policy and one that’s causing some ripples. Researchers and their institutions and publishers are all looking at significant changes to make this happen and not everybody’s happy about it but it’s gonna have potentially a big effect because something like 9% of all of the world’s scientific papers are funded by the US government.
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