Archive for the 'SciLit' Category

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Role of ventilation on the transmission of viruses in buildings, from a single zone to a multizone approach – PMC

August 15, 2026

https://pmc.ncbi.nlm.nih.gov/articles/PMC9541182/
QT:{{” We observe that this widespread recommendation to open the window of a quarantine room and to seal the door is based on the consideration of a single zone model. We illustrate the importance of moving from such a single zone approach to a multizone approach for quantifying ventilation and airing impacts in multizone buildings as residences in order to prevent epidemics of viruses such as
SARS‐CoV‐2. It highlights the need of air leakage databases. “}}

Guyot, G., Sayah, S., Guernouti, S., & Mélois, A. (2022). Role of ventilation on the transmission of viruses in buildings, from a single zone to a multizone approach. Indoor Air, 32(8), e13097.
https://doi.org/10.1111/ina.13097

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Could an $800 air filter be a cheap fix for the threat of airborne COVID in hotel quarantine? – ABC News

August 15, 2026

https://www.abc.net.au/news/2021-02-13/hotel-quarantine-ventilation-air-purifiers-reduce-covid-threat/13146068

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To prevent SARS‐CoV‐2 transmission in designated quarantine hotel for travelers: Is the ventilation system a concern? – PMC

August 15, 2026

https://pmc.ncbi.nlm.nih.gov/articles/PMC8447387/

Wong, S., Chen, H., Lung, D. C., Ho, P., Yuen, K., & Cheng, V. C. (2021). To prevent SARS‐CoV‐2 transmission in designated quarantine hotel for travelers: Is the ventilation system a concern? Indoor Air, 31(5), 1295–1297. https://doi.org/10.1111/ina.12870

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Hotels as quarantine facilities with airborne virus controls – PMC

August 15, 2026

https://pmc.ncbi.nlm.nih.gov/articles/PMC12326987/

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Disparate privacy risks from medical AI | Nature

August 8, 2026

https://www.nature.com/articles/s41586-026-10688-0
model privacy leakage & MIAs

Knolle, M. A., Menten, M. J., Jungmann, F., Meissen, F., Glocker, B., Rueckert, D., & Kaissis, G. (2026). Disparate privacy risks from medical AI. Nature, 656(8126), 192–198.
https://doi.org/10.1038/s41586-026-10688-0

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Power and pitfalls of computational methods for inferring clone phylogenies and mutation orders from bulk sequencing data | Scientific Reports

June 7, 2026

https://www.nature.com/articles/s41598-020-59006-2

QT:{{” Though each cell is fundamentally distinct in cancer, there typically exist groups of cells that are genomically nearly identical, so-called clonal populations1. The evolutionary relationship between clones can be represented by a phylogenetic tree or clonal tree. Inferring clonal population structure, genotypes, and trees from sequence data has been an active area of research in the past decade with implications for cancer treatment2,3,4. Early approaches used bulk sequence data coupled with computational deconvolution to address the admixed nature of bulk data5,6,7,8,9. The limitations of clonal analysis using only the bulk method is well documented in the literature (e.g., refs. 10,11). “}}

how is the word clone used in tumor phylogenetic analysis

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Treatment Effect of the Tree Pollen SLIT-Tablet on Allergic Rhinoconjunctivitis During Oak Pollen Season – PubMed

May 31, 2026

https://pubmed.ncbi.nlm.nih.gov/33548518/

Nolte, H., Waserman, S., Ellis, A. K., Biedermann, T., & Würtzen, P. A. (2021). Treatment effect of the tree pollen SLIT-Tablet on allergic rhinoconjunctivitis during oak pollen season. The Journal of Allergy and Clinical Immunology in Practice, 9(5), 1871–1878.
https://doi.org/10.1016/j.jaip.2021.01.035

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Ancient DNA reveals pervasive directional selection across West Eurasia | Nature

May 31, 2026

https://www.nature.com/articles/s41586-026-10358-1

Akbari, A., Perry, A., Barton, A. R., Kariminejad, M., Gazal, S., Li, Z., Zeng, Y., Mittnik, A., Patterson, N., Mah, M., Zhou, X., Price, A. L., Lander, E. S., Pinhasi, R., Rohland, N., Mallick, S., & Reich, D. (2026). Ancient DNA reveals pervasive directional selection across West Eurasia. Nature. https://doi.org/10.1038/s41586-026-10358-1

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How effective is the personalized off-label use of targeted cancer treatment?

May 31, 2026

https://www.nature.com/articles/d41586-026-00911-3

NEWS AND VIEWS
15 April 2026
How effective is the personalized off-label use of targeted cancer treatment If general cancer treatment fails, a tumour-type-specific therapy might be tried for other cancers with genetic changes in the targeted pathway. How well does this work?
By Funda Meric-Bernstam

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Teams of AI agents boost speed of research

May 29, 2026

https://www.nature.com/articles/d41586-026-01596-4

QT:{{” In one experiment, Natarajan and his colleagues used Google’s Co-Scientist to look for approved drugs that could be repurposed to treat a form of blood cancer called acute myeloid leukaemia1. The system identified a list of candidate drugs, from which human researchers selected five for further study. Three of these showed promise in preliminary studies on cells grown in the lab.
FutureHouse, a non-profit AI research lab in San Francisco,
California, developed the second system, called Robin, and instructed it to find drugs to treat an eye condition called dry age-related macular degeneration2. “}}

Gottweis, J. et al. Nature https://doi.org/10.1038/s41586-026-10644-y (2026).

Ghareeb, A. E. et al. Nature https://doi.org/10.1038/s41586-026-10652-y (2026).

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