Detalhe da pesquisa
1.
Wastewater sequencing reveals early cryptic SARS-CoV-2 variant transmission.
Nature
; 609(7925): 101-108, 2022 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-35798029
2.
Human intracerebroventricular (ICV) injection of autologous, non-engineered, adipose-derived stromal vascular fraction (ADSVF) for neurodegenerative disorders: results of a 3-year phase 1 study of 113 injections in 31 patients.
Mol Biol Rep
; 46(5): 5257-5272, 2019 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-31327120
3.
Effects of variation in sample storage conditions and swab order on 16S vaginal microbiome analyses.
Microbiol Spectr
; 12(1): e0371223, 2024 Jan 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-38095462
4.
Effects of Variation in Urine Sample Storage Conditions on 16S Urogenital Microbiome Analyses.
mSystems
; 8(1): e0102922, 2023 02 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-36475896
5.
Wastewater and surface monitoring to detect COVID-19 in elementary school settings: The Safer at School Early Alert project.
medRxiv
; 2023 Jan 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-34704096
6.
Safer at school early alert: an observational study of wastewater and surface monitoring to detect COVID-19 in elementary schools.
Lancet Reg Health Am
; 19: 100449, 2023 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-36844610
7.
SARS-CoV-2 Distribution in Residential Housing Suggests Contact Deposition and Correlates with Rothia sp.
mSystems
; 7(3): e0141121, 2022 06 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-35575492
8.
Wastewater sequencing uncovers early, cryptic SARS-CoV-2 variant transmission.
medRxiv
; 2022 Apr 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-35411350
9.
Rapid, Large-Scale Wastewater Surveillance and Automated Reporting System Enable Early Detection of Nearly 85% of COVID-19 Cases on a University Campus.
mSystems
; 6(4): e0079321, 2021 Aug 31.
Artigo
em Inglês
| MEDLINE | ID: mdl-34374562
10.
SARS-CoV-2 Distribution in Residential Housing Suggests Contact Deposition and Correlates with Rothia sp.
medRxiv
; 2021 Dec 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-34909793