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From numbers to medical knowledge: harnessing combinatorial data patterns to predict COVID-19 resource needs and distinguish patient subsets.
Satashia PH, Franco PM, Rivas AL, Isha S, Hanson A, Narra SA, Singh K, Jenkins A, Bhattacharyya A, Guru P, Chaudhary S, Kiley S, Shapiro A, Martin A, Thomas M, Sareyyupoglu B, Libertin CR, Sanghavi DK. Satashia PH, et al. Among authors: rivas al. Front Med (Lausanne). 2023 Nov 8;10:1240426. doi: 10.3389/fmed.2023.1240426. eCollection 2023. Front Med (Lausanne). 2023. PMID: 38020180 Free PMC article.
Geo-temporal patterns to design cost-effective interventions for zoonotic diseases -the case of brucellosis in the country of Georgia.
Rivas AL, Smith SD, Basiladze V, Chaligava T, Malania L, Burjanadze I, Chichinadze T, Suknidze N, Bolashvili N, Hoogesteijn AL, Gilbertson K, Bertram JH, Fair JM, Webb CT, Imnadze P, Kosoy M. Rivas AL, et al. Front Vet Sci. 2023 Dec 20;10:1270505. doi: 10.3389/fvets.2023.1270505. eCollection 2023. Front Vet Sci. 2023. PMID: 38179332 Free PMC article.
Data structuring may prevent ambiguity and improve personalized medical prognosis.
Libertin CR, Kempaiah P, Gupta Y, Fair JM, van Regenmortel MHV, Antoniades A, Rivas AL, Hoogesteijn AL. Libertin CR, et al. Among authors: rivas al. Mol Aspects Med. 2023 Jun;91:101142. doi: 10.1016/j.mam.2022.101142. Epub 2022 Sep 15. Mol Aspects Med. 2023. PMID: 36116999 Free article. Review.
60 results