About: David A. Drew

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An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

researcher (ORCID 0000-0002-8813-0816)

Attributes	Values
rdf:type	Item
description	연구원 (ko) wetenschapper (nl) дослідник (uk) 研究者 (zh) researcher (ORCID 0000-0002-8813-0816) (en)
rdfs:label	David A Drew (nl) David A. Drew (en)
skos:prefLabel	David A Drew (nl) David A. Drew (en)
name	David A Drew (nl) David A. Drew (en)
given name	wds:Q89874424-D1822E3A-D510-43C2-B7FF-4B8CFA7127BF
given name	David
instance of	wds:Q89874424-422AC70E-F91D-49AF-B4AE-A295C74E7112
instance of	Homo sapiens
skos:altLabel	David Drew (en) 10.1038/s41591-020-01183-8 (en)
occupation	wds:Q89874424-4F59A72F-97E6-416F-B782-82D3905A7837
employer	wds:Q89874424-E6E2DC24-A829-4F4A-82C2-40227E479806
sex or gender	wds:Q89874424-C589720E-5348-4D2E-B354-9E773460E9D3
on focus list of Wikimedia project	wds:Q89874424-54606EDF-45F0-4538-B72A-E31CDA73557A
educated at	wds:Q89874424-2390C72A-537E-41D3-AAB9-DEE6AC4FB192 wds:Q89874424-3EEFB0FC-5CC0-44C6-80DE-032D31E94154
occupation	researcher
employer	Massachusetts General Hospital
sex or gender	male
on focus list of Wikimedia project	WikiProject COVID-19
educated at	Rensselaer Polytechnic Institute University of Connecticut Health Center
ORCID iD	wds:Q89874424-BD2D2F27-0EFD-4F98-84EE-20CCAF5EF8C7
ORCID iD	https://orcid.org/0000-0002-8813-0816
ORCID iD	0000-0002-8813-0816
ORKG ID	wds:Q89874424-a5bbf69b-2b08-4742-b63d-9eb6e155e1da
ORKG ID	R146491
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q89874424
is author of	Association of Dietary Patterns With Risk of Colorectal Cancer Subtypes Classified by Fusobacterium nucleatum in Tumor Tissue Regular Aspirin Use Associates With Lower Risk of Colorectal Cancers With Low Numbers of Tumor-Infiltrating Lymphocytes. Stability of the human faecal microbiome in a cohort of adult men. Dietary Patterns and Risk of Colorectal Cancer: Analysis by Tumor Location and Molecular Subtypes. Association Between Inflammatory Diet Pattern and Risk of Colorectal Carcinoma Subtypes Classified by Immune Responses to Tumor. Long-term use of antibiotics and risk of colorectal adenoma Metatranscriptome of human faecal microbial communities in a cohort of adult men. Aspirin exerts high anti-cancer activity in PIK3CA-mutant colon cancer cells. Human postprandial responses to food and potential for precision nutrition Landscape of somatic single nucleotide variants and indels in colorectal cancer and impact on survival Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study Real-time tracking of self-reported symptoms to predict potential COVID-19 A combined proteomics and Mendelian randomization approach to investigate the effects of aspirin-targeted proteins on colorectal cancer Microbiome connections with host metabolism and habitual diet from 1,098 deeply phenotyped individuals Effect of Low-dose and Standard-dose Aspirin on PGE2 Biosynthesis Among Individuals with Colorectal Adenomas: a Randomized Clinical Trial Integrating Metagenomic Information into Personalized Nutrition Tools: The PREDICT I Study (P20-005-19) Rapid implementation of mobile technology for real-time epidemiology of COVID-19 Transcriptome-wide <i>In Vitro</i> Effects of Aspirin on Patient-derived Normal Colon Organoids Race, ethnicity, community-level socioeconomic factors, and risk of COVID-19 in the United States and the United Kingdom Personalised REsponses to DIetary Composition Trial (PREDICT): an intervention study to determine inter-individual differences in postprandial response to foods Functional informed genome-wide interaction analysis of body mass index, diabetes and colorectal cancer risk Building an international consortium for tracking coronavirus health status Publisher Correction: Building an international consortium for tracking coronavirus health status Smoking Status at Diagnosis and Colorectal Cancer Prognosis According to Tumor Lymphocytic Reaction Publisher Correction: Human postprandial responses to food and potential for precision nutrition Rapid implementation of mobile technology for real-time epidemiology of COVID-19 Attributes and predictors of long COVID Author Correction: Attributes and predictors of long COVID Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application: a prospective, observational study Anxiety and depression symptoms after COVID-19 infection: results from the COVID Symptom Study app Vaccine side-effects and SARS-CoV-2 infection after vaccination in users of the COVID Symptom Study app in the UK: a prospective observational study Symptom clusters in Covid19: A potential clinical prediction tool from the COVID Symptom study app A Prospective Study of Smoking and Risk of Synchronous Colorectal Cancers Exploratory genome-wide interaction analysis of non-steroidal anti-inflammatory drugs and predicted gene expression on colorectal cancer risk Knowledge barriers in the symptomatic-COVID-19 testing programme in the UK: an observational study Association of social distancing and masking with risk of COVID-19 Building an International Consortium for Tracking Coronavirus Health Status Modest effects of dietary supplements during the COVID-19 pandemic: insights from 445 850 users of the COVID-19 Symptom Study app Symptom clusters in COVID-19: A potential clinical prediction tool from the COVID Symptom Study app Impact of COVID-19 on health behaviours and body weight: A prospective observational study in a cohort of 1.1 million UK and US individuals The COronavirus Pandemic Epidemiology (COPE) Consortium: A Call to Action Risk of COVID-19 among frontline healthcare workers and the general community: a prospective cohort study Changes in symptomatology, reinfection, and transmissibility associated with the SARS-CoV-2 variant B.1.1.7: an ecological study Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application Post-vaccination SARS-CoV-2 infection: risk factors and illness profile in a prospective, observational community-based case-control study Smoking and Risk of Colorectal Cancer Sub-Classified by Tumor-Infiltrating T Cells Identification of optimal symptom combinations to trigger diagnostic work-up of suspected COVID-19 cases: analysis from a community-based, prospective, observational cohort Cancer and Risk of COVID-19 Through a General Community Survey Diet quality and risk and severity of COVID-19: a prospective cohort study Dietary supplements during the COVID-19 pandemic: insights from 1.4M users of the COVID Symptom Study app - a longitudinal app-based community survey Attributes and predictors of Long-COVID: analysis of COVID cases and their symptoms collected by the Covid Symptoms Study App Anosmia, ageusia, and other COVID-19-like symptoms in association with a positive SARS-CoV-2 test, across six national digital surveillance platforms: an observational study
is author of	wds:Q97595643-BC2A5E70-1040-4474-AD1D-B861C83C7DE2 wds:Q104471089-5242A35B-A907-4F6A-A548-9F34DB2EA703 wds:Q47171553-E0A5E347-6B4D-4BE3-9D68-B648028B0754 wds:Q97901576-157009DC-FC64-499E-A4BA-53F1343A2DE0 wds:Q94492638-F9A25E3F-A0F8-468C-B56D-66495DAFC48C wds:Q112712455-0EF2A469-B1B3-451D-8962-C98BB2C04ADD wds:Q108819063-E2413AFF-673F-4B31-9FD7-13AFC8B16EB2 wds:Q124636290-8C7C19CD-CBFC-487F-953E-33DC645223DD wds:Q40257973-06601D2A-F0AF-4947-8BE3-538C10EA182A wds:Q48239720-AE5519CD-6E85-4381-BCEF-D8E8198D6AB3 wds:Q90618446-6A2FE855-47B4-42F2-8BAF-0C1E62AF0BAA wds:Q96766154-2A7B0389-46C9-437A-8A5F-AE9B5025E700

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