COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv

31,082 Articles (22,658 medRxiv, 8,424 bioRxiv)

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Effective Deep Learning Approaches for Predicting COVID-19 Outcomes from Chest Computed Tomography Volumes
Trivedi, A., Ortiz, A., Desbiens, J., Robinson, C., Blazes, M., Gupta, S., Dodhia, R., Bhatraju, P., Liles, W. C., Lee, A., Lavista Ferres, J. M.
10.1101/2020.10.15.20213462 — Posted: 2020-10-20
The Safety of Contemporary Planned Cancer Surgery During the COVID-19 Pandemic
Shackley, D., Gray, S. H., Penney, S., Galligan-Dawson, L., Howle, F., Arya, S., Hunter, J., Andrews, F., Wasson, C., Luckas, M., Ryan, B., Eddleston, J., Brookes, C., Harrison, C.
10.1101/2020.10.19.20207803 — Posted: 2020-10-20
Different mutations in SARS-CoV-2 associate with severe and mild outcome
Nagy, A., Pongor, S., Gyorffy, B.
10.1101/2020.10.16.20213710 — Posted: 2020-10-20
Treatment with human umbilical cord-derived mesenchymal stem cells for COVID-19 patients with lung damage: a randomised, double-blind, placebo controlled phase 2 trial
Shi, L., Huang, H., Lu, X., Yan, X., Jiang, X., Xu, R., Wang, S., Zhang, C., Yuan, X., Xu, Z., Huang, L., Fu, J., Li, Y., Zhang, Y., Liu, W., Liu, T., Song, J.-W., Sun, L., Yang, F., Zhang, X., Zhang, B., Shi, M., Meng, F., Song, Y., Yu, Y., Wen, J., Li, Q., Mao, Q., Maeurer, M., Zumla, A., Yao, C., Xie, W., Wang, F.-S.
10.1101/2020.10.15.20213553 — Posted: 2020-10-20
A Comparative Analysis of System Features Used in the TREC-COVID Information Retrieval Challenge
Chen, J., Hersh, W.
10.1101/2020.10.15.20213645 — Posted: 2020-10-20
Indirect effects of the COVID-19 pandemic on paediatric health-care use and severe disease: a retrospective national cohort study
Williams, T. C., MacRae, C., Swann, O., Haseeb, H., Cunningham, S., Davies, P., Gibson, N., Lamb, C., Levin, R., McDougall, C., McFadzean, J., Piper, I., Turner, A., Turner, S., Van Dijke, M., Urquhart, D., Guthrie, B., Langley, R.
10.1101/2020.10.15.20212308 — Posted: 2020-10-20
Intravenous Mesenchymal Stem Cells in Extracorporeal Oxygenation Patients with Severe COVID-19 Acute Respiratory Distress Syndrome
Kaushal, S., Khan, A., Deatrick, K., Ng, D. K., Snyder, A., Shah, A., Caceres, L. V., Bacallao, K., Bembea, M., Everett, A., Zhu, J., Kaczorowski, D., Madathil, R., Tabatabai, A., Rosenthal, G., Brooks, A., Longsomboon, B., Mishra, R., Saha, P., Desire, Y., Saltzman, R., Hankey, K. G., Arias, S. A., Ayoade, F., Tovar, J. A., Lamazares, R., Gershengorn, H. B., Magali, F. J., Loebe, M., Mullins, K., Gunasekaran, M., Karakeshishyan, V., Jayaweera, D. T., Atala, A., Ghodsizad, A., Hare, J. M.
10.1101/2020.10.15.20122523 — Posted: 2020-10-20
Reverse Transcription-Loop-Mediated Isothermal Amplification (RT-LAMP) is an effective alternative for SARS-CoV-2 molecular detection in middle-income countries
Escalante-Maldonado, O., Vidal-Anzardo, M., Donaires, F., Solis-Sanchez, G., Gallesi, I., Pampa-Espinoza, L., Huaringa, M., Rojas-Serrano, N., Garcia, C., Angles-Yanqui, E., Gavilan, R. G., Duraes-Carvalho, R., Cabezas, C., Simas, P. V. M.
10.1101/2020.10.14.20212977 — Posted: 2020-10-20
FebriDx point-of-care test in patients with suspected COVID-19: a pooled diagnostic accuracy study
Urwin, S. G., Lendrem, B. C., Suklan, J., Green, K., Graziadio, S., Buckle, P., Dark, P. M., Gordon, A. L., Lasserson, D. S., Nicholson, B., Price, D. A., Reynard, C., Wilcox, M. H., Prestwich, G., Tate, V., Clark, T. W., Reddy, R. V., Body, R., Allen, A. J.
10.1101/2020.10.15.20213108 — Posted: 2020-10-20
COVID-19 neutralizing antibodies predict disease severity and survival
Garcia-Beltran, W. F., Lam, E. C., Astudillo, M. G., Yang, D., Miller, T. E., Feldman, J., Hauser, B. M., Caradonna, T. M., Clayton, K. L., Nitido, A. D., Murali, M. R., Alter, G., Charles, R. C., Dighe, A., Branda, J. A., Lennerz, J. K., Lingwood, D., Schmidt, A. G., Iafrate, A. J., Balazs, A. B.
10.1101/2020.10.15.20213512 — Posted: 2020-10-20

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* The Clinical Trials and Epidemiology subject categories are now closed to new submissions following the completion of bioRxiv's clinical research pilot project and launch of the dedicated health sciences server medRxiv (submit.medrxiv.org). New papers that report results of Clinical Trials must now be submitted to medRxiv. Most new Epidemiology papers also should be submitted to medRxiv, but if a paper contains no health-related information, authors may choose to submit it to another bioRxiv subject category (e.g., Genetics or Microbiology).