Posts Tagged ‘to’
Protecting Human Genomic Data When Developing Generative Artificial Intelligence Tools and Applications | Grants & Funding
November 8, 2025Protecting Human Genomic Data When Developing Generative Artificial Intelligence Tools and Applications | Grants & Funding
November 8, 2025The International Human Epigenome Consortium: A Blueprint for Scientific Collaboration and Discovery: Cell
October 18, 2025Capstone reviews/perspectives for reference
**IHEC**
The International Human Epigenome Consortium: A Blueprint for Scientific Collaboration and Discovery
Hendrik G. Stunnenberg ∙ The International Human Epigenome Consortium4 ∙ Martin Hirst
Stunnenberg, H. G., Hirst, M., Abrignani, S., Adams, D., De Almeida, M., Altucci, L., Amin, V., Amit, I., Antonarakis, S. E., Aparicio, S., Arima, T., Arrigoni, L., Arts, R., Asnafi, V., Esteller, M., Bae, J., Bassler, K., Beck, S., Berkman, B., . . . Zipprich, G. (2016). The International Human Epigenome Consortium: a blueprint for Scientific collaboration and Discovery. Cell, 167(5), 1145–1149.
https://doi.org/10.1016/j.cell.2016.11.007
** EXRNA**
The Extracellular RNA Communication Consortium: Establishing Foundational Knowledge and Technologies for Extracellular RNA Research
Das, S., Ansel, K. M., Bitzer, M., Breakefield, X. O., Charest, A., Galas, D. J., Gerstein, M. B., Gupta, M., Milosavljevic, A., McManus, M. T., Patel, T., Raffai, R. L., Rozowsky, J., Roth, M. E., Saugstad, J. A., Van Keuren-Jensen, K., Weaver, A. M., Laurent, L. C., Abdel-Mageed, A. B., . . . Zhang, H. (2019). The Extracellular RNA Communication Consortium: Establishing foundational knowledge and technologies for extracellular RNA research. Cell, 177(2), 231–242. https://doi.org/10.1016/j.cell.2019.03.023
**ENCODE3**
Perspectives on ENCODE
The ENCODE Project Consortium, Michael P Snyder 1,2,✉, Thomas R Gingeras 3, Jill E Moore 4, Zhiping Weng 4,5,6, Mark B Gerstein 7, Bing Ren 8,9, Ross C Hardison 10, John A Stamatoyannopoulos 11,12,13, Brenton R Graveley 14, Elise A Feingold 15, Michael J Pazin 15, Michael Pagan 15, Daniel A Gilchrist 15, Benjamin C Hitz 1, J Michael Cherry 1, Bradley E Bernstein 16, Eric M Mendenhall 17,18, Daniel R Zerbino 19, Adam Frankish 19, Paul Flicek 19, Richard M Myers 18
Abascal, F., Acosta, R., Addleman, N. J., Adrian, J., Afzal, V., Aken, B., Ai, R., Akiyama, J. A., Jammal, O. A., Amrhein, H., Anderson, S. M., Andrews, G. R., Antoshechkin, I., Ardlie, K. G., Armstrong, J., Astley, M., Banerjee, B., Barkal, A. A., Barnes, I. H. A., . . . Myers, R. M. (2020).
Perspectives on ENCODE. Nature, 583(7818), 693–698.
https://doi.org/10.1038/s41586-020-2449-8
Efficient Privacy-Preserving Training Of Quantum Neural Networks Utilizes Mixed States For Data Ensembles
September 21, 2025Chai Discovery
August 23, 2025Human exposure to PM10 microplastics in indoor air | PLOS One
July 30, 2025https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0328011
Yakovenko, N., Pérez-Serrano, L., Segur, T., Hagelskjaer, O., Margenat, H., Roux, G. L., & Sonke, J. E. (2025). Human exposure to PM10 microplastics in indoor air. PLOS One.
https://doi.org/10.1371/journal.pone.0328011
Humans have nasal respiratory fingerprints: Current Biology
July 13, 2025https://www.cell.com/current-biology/fulltext/S0960-9822(25)00583-4
Soroka, T., Ravia, A., Snitz, K., Honigstein, D., Weissbrod, A., Gorodisky, L., Weiss, T., Perl, O., & Sobel, N. (2025). Humans have nasal respiratory fingerprints. Current Biology.
https://doi.org/10.1016/j.cub.2025.05.008
Scalable emulation of protein equilibrium ensembles with generative deep learning | Science
July 12, 2025https://www.science.org/doi/10.1126/science.adv9817
Lewis, S., Hempel, T., Jiménez-Luna, J., Gastegger, M., Xie, Y., Foong, A. Y. K., Satorras, V. G., Abdin, O., Veeling, B. S., Zaporozhets, I., Chen, Y., Yang, S., Foster, A. E., Schneuing, A., Nigam, J., Barbero, F., Stimper, V., Campbell, A., Yim, J., . . . Noé, F. (2025, July 10). Scalable emulation of protein equilibrium ensembles with generative deep learning. Science.
https://www.science.org/doi/10.1126/science.adv9817
Parkinson’s disease could be detected by listening to someone’s voice | New Scientist
July 6, 2025Mentions:
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
The Remarkable Life of the Skin: An Intimate Journey Across Our Largest Organ: Lyman, Monty: 9780802129406: Amazon.com: Books
June 29, 2025The Remarkable Life of the Skin: An Intimate Journey Across Our Largest Organ: Lyman, Monty: 9780802129406: Amazon.com: Books https://www.amazon.com/Remarkable-Life-Skin-Intimate-Journey/dp/0802129404
From this review of the book:
https://www.newyorker.com/magazine/2020/08/03/rethinking-the-science-of-skin QT:{{”
In a chapter called “Skin Safari,” Lyman gives a tour of the denizens of our skin. They range from the microscopic mites that wander around our faces at night, copulating, to the highly stable communities of microorganisms that live on the different regions of our bodies, each with its own unique environmental conditions. “At first glance, our skin looks like a bare, inhospitable landscape,” Lyman writes. In fact, for critters that are small enough, it’s full of ridges and canyons and deserts and swamps: “Habitats filled with wildlife worthy of a nature documentary. ” These habitats are affected, in turn, by our own environmental conditions. In one study, scientists could tell, just by examining people’s skin microbiome, what city they lived in and with whom they cohabitated.
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