FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3215954917> ?p ?o ?g. }

• W3215954917 endingPage "255.e7" @default.
• W3215954917 startingPage "241" @default.
• W3215954917 abstract "We explored opportunities for personalized and predictive health care by collecting serial clinical measurements, health surveys, genomics, proteomics, autoantibodies, metabolomics, and gut microbiome data from 96 individuals who participated in a data-driven health coaching program over a 16-month period with continuous digital monitoring of activity and sleep. We generated a resource of >20,000 biological samples from this study and a compendium of >53 million primary data points for 558,032 distinct features. Multiomics factor analysis revealed distinct and independent molecular factors linked to obesity, diabetes, liver function, cardiovascular disease, inflammation, immunity, exercise, diet, and hormonal effects. For example, ethinyl estradiol, a common oral contraceptive, produced characteristic molecular and physiological effects, including increased levels of inflammation and impact on thyroid, cortisol levels, and pulse, that were distinct from other sources of variability observed in our study. In total, this work illustrates the value of combining deep molecular and digital monitoring of human health. A record of this paper's transparent peer review process is included in the supplemental information." @default.
• W3215954917 created "2021-12-06" @default.
• W3215954917 creator A5002887945 @default.
• W3215954917 creator A5003421235 @default.
• W3215954917 creator A5003460678 @default.
• W3215954917 creator A5010131861 @default.
• W3215954917 creator A5010665359 @default.
• W3215954917 creator A5016010581 @default.
• W3215954917 creator A5021297500 @default.
• W3215954917 creator A5022404723 @default.
• W3215954917 creator A5035554566 @default.
• W3215954917 creator A5037463603 @default.
• W3215954917 creator A5037541817 @default.
• W3215954917 creator A5046711912 @default.
• W3215954917 creator A5047274138 @default.
• W3215954917 creator A5047848282 @default.
• W3215954917 creator A5057953163 @default.
• W3215954917 creator A5058004140 @default.
• W3215954917 creator A5058300698 @default.
• W3215954917 creator A5060620306 @default.
• W3215954917 creator A5061677289 @default.
• W3215954917 creator A5065064730 @default.
• W3215954917 creator A5065414438 @default.
• W3215954917 creator A5065767042 @default.
• W3215954917 creator A5072879556 @default.
• W3215954917 creator A5079170940 @default.
• W3215954917 creator A5080326706 @default.
• W3215954917 creator A5084408140 @default.
• W3215954917 creator A5085087534 @default.
• W3215954917 creator A5087505466 @default.
• W3215954917 creator A5090129675 @default.
• W3215954917 date "2022-03-01" @default.
• W3215954917 modified "2023-10-12" @default.
• W3215954917 title "Multiomics and digital monitoring during lifestyle changes reveal independent dimensions of human biology and health" @default.
• W3215954917 cites W1536532709 @default.
• W3215954917 cites W1975579196 @default.
• W3215954917 cites W1978116054 @default.
• W3215954917 cites W1982836278 @default.
• W3215954917 cites W1987525998 @default.
• W3215954917 cites W1989100246 @default.
• W3215954917 cites W1992436001 @default.
• W3215954917 cites W2003347868 @default.
• W3215954917 cites W2013033125 @default.
• W3215954917 cites W2036643530 @default.
• W3215954917 cites W2036897871 @default.
• W3215954917 cites W2046586444 @default.
• W3215954917 cites W2067323601 @default.
• W3215954917 cites W2079859830 @default.
• W3215954917 cites W2080401908 @default.
• W3215954917 cites W2083637865 @default.
• W3215954917 cites W2085821567 @default.
• W3215954917 cites W2099085143 @default.
• W3215954917 cites W2100599316 @default.
• W3215954917 cites W2101551644 @default.
• W3215954917 cites W2120679720 @default.
• W3215954917 cites W2133374684 @default.
• W3215954917 cites W2134944069 @default.
• W3215954917 cites W2156579478 @default.
• W3215954917 cites W2178232050 @default.
• W3215954917 cites W2179438025 @default.
• W3215954917 cites W2198751818 @default.
• W3215954917 cites W2266399477 @default.
• W3215954917 cites W2334337188 @default.
• W3215954917 cites W2401404581 @default.
• W3215954917 cites W2418376827 @default.
• W3215954917 cites W2493731706 @default.
• W3215954917 cites W2511883439 @default.
• W3215954917 cites W2564489970 @default.
• W3215954917 cites W2728383289 @default.
• W3215954917 cites W2734770034 @default.
• W3215954917 cites W2776551164 @default.
• W3215954917 cites W2784691731 @default.
• W3215954917 cites W2790055001 @default.
• W3215954917 cites W2808845633 @default.
• W3215954917 cites W2809333384 @default.
• W3215954917 cites W2898448758 @default.
• W3215954917 cites W2922129412 @default.
• W3215954917 cites W2922487734 @default.
• W3215954917 cites W2944477354 @default.
• W3215954917 cites W2948018512 @default.
• W3215954917 cites W2952360394 @default.
• W3215954917 cites W2952979335 @default.
• W3215954917 cites W2955300219 @default.
• W3215954917 cites W2979481261 @default.
• W3215954917 cites W2990706223 @default.
• W3215954917 cites W3000365770 @default.
• W3215954917 cites W3027051073 @default.
• W3215954917 cites W3045157310 @default.
• W3215954917 cites W3084302920 @default.
• W3215954917 cites W3114666494 @default.
• W3215954917 doi "https://doi.org/10.1016/j.cels.2021.11.001" @default.
• W3215954917 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34856119" @default.
• W3215954917 hasPublicationYear "2022" @default.
• W3215954917 type Work @default.
• W3215954917 sameAs 3215954917 @default.
• W3215954917 citedByCount "6" @default.
• W3215954917 countsByYear W32159549172022 @default.
• W3215954917 countsByYear W32159549172023 @default.

• next