Harnessing AI to Build Virtual Cells | bioRxiv
https://www.biorxiv.org/content/10.64898/2026.04.11.717183v1
Harnessing AI to Build Virtual Cells | bioRxiv
April 25, 2026how much is a thousand, a million and then a billion seconds – Google Search
April 25, 202617min, 12days, 32yrs
https://www.google.com/search?q=how+much+is+a+thousand%2C+a+million+and+then+a+billion+seconds&sca_esv=8f676378753648eb&rlz=1C5CHFA_enUS1047US1048&biw=1294&bih=798&sxsrf=ANbL-n631RbCMptnFXbBkC93WdiDJxCUYw%3A1777169291224&ei=i3PtaYKwDZWi5NoPrvekiQ0&ved=0ahUKEwjCobzCt4qUAxUVEVkFHa47KdEQ4dUDCBE&uact=5&oq=how+much+is+a+thousand%2C+a+million+and+then+a+billion+seconds&gs_lp=Egxnd3Mtd2l6LXNlcnAiPGhvdyBtdWNoIGlzIGEgdGhvdXNhbmQsIGEgbWlsbGlvbiBhbmQgdGhlbiBhIGJpbGxpb24gc2Vjb25kczIFECEYoAEyBRAhGKABMgUQIRigATIFECEYqwIyBRAhGKsCMgUQIRirAki3OFDhBljDJXADeAGQAQCYAV-gAdYHqgECMTW4AQPIAQD4AQGYAhGgAsYHwgIKEAAYRxjWBBiwA8ICBxAjGLACGCfCAggQABiABBiiBMICCBAAGIkFGKIEwgIFEAAY7wXCAgQQIRgKmAMAiAYBkAYIkgcCMTegB85KsgcCMTS4B7wHwgcFMi44LjfIBymACAE&sclient=gws-wiz-serp QT:{{” A thousand seconds is about 16.7 minutes, a million seconds is approximately 11.6 days, and a billion seconds is roughly 31.7 years “}}
Allergy Season Report for Branford, CT (06405) | Pollen.com
April 23, 2026[tags useful,hl0g]
https://www.pollen.com/research/06405
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A Family Feud at an Oregon Winery Turns to Vinegar Over A.I. Slop – The New York Times
April 23, 2026Sir Demis Hassabis wants to automate drug design
April 22, 2026Zebrafish reveal new insights into the biology of autism | Yale News
April 20, 2026https://news.yale.edu/2026/04/02/zebrafish-reveal-new-insights-biology-autism?utm_source=YaleToday&utm_medium=email&utm_campaign=YT_YaleToday-Faculty_4-7-2026 QT{{” Here, we leverage the strengths of zebrafish as a scalable in vivo system to screen 520 US FDA-approved drugs and establish a database of their effects on sensory processing and arousal behaviors. Using this database, we nominate pharmacological candidates relevant to specific ASD genes or gene subgroups. “}}
Jamadagni, P., Dai, Y., Liu, Y., Mendes, H. W., Pruitt, A., Khan, S., Yang, L., Huang, T., Huang, X., Deans, P. J. M., Balafkan, N., Zhao, D., Xu, G., Liu, Y., Li, N., Wu, W., Fitzpatrick, S. E., Neelakantan, U., Chen, T., . . . Hoffman, E. J. (2026). Pharmaco-behavioral profiling identifies suppressors of autism gene–associated phenotypes in zebrafish. Proceedings of the National Academy of Sciences, 123(12), e2518846123. https://doi.org/10.1073/pnas.2518846123
