Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366293746> ?p ?o ?g. }
- W4366293746 abstract "Circadian medicine, the study of the effects of time on health and disease has seen an uprising in recent years as a means to enhance health and performance, and optimize treatment timing. Our endogenous time generating system -the circadian clock- regulates behavioural, physiological and cellular processes. Disruptions of the clock, via external factors like shift work or jet lag, or internal perturbations such as genetic alterations, are linked to an increased risk of various diseases like obesity, diabetes, cardiovascular diseases and cancer. By aligning an individual's circadian clock with optimal times for performing daily routines, physical and mental performance, and also the effectiveness of certain therapies can be improved. Despite the benefits of circadian medicine, the lack of non-invasive tools for characterizing the clock limits the potential of the field. TimeTeller is a non-invasive molecular/digital tool for the characterization of circadian rhythms and prediction of daily routines, including treatment timing, to unlock the potential of circadian medicine and implementing it in various settings. Given the multiple known and potentially yet unknown dependent health factors of individual circadian rhythms, the utility of this emerging biomarker is best exploited in data driven, personalized medicine use cases, using health information across lifestyle, care, and research settings." @default.
- W4366293746 created "2023-04-20" @default.
- W4366293746 creator A5041763620 @default.
- W4366293746 creator A5056825701 @default.
- W4366293746 creator A5075516892 @default.
- W4366293746 creator A5088181038 @default.
- W4366293746 date "2023-04-18" @default.
- W4366293746 modified "2023-10-16" @default.
- W4366293746 title "TimeTeller for timing health: The potential of circadian medicine to improve performance, prevent disease and optimize treatment" @default.
- W4366293746 cites W1277966809 @default.
- W4366293746 cites W1440215996 @default.
- W4366293746 cites W1508670761 @default.
- W4366293746 cites W1571066563 @default.
- W4366293746 cites W1726094883 @default.
- W4366293746 cites W1766934278 @default.
- W4366293746 cites W1895993106 @default.
- W4366293746 cites W1968410906 @default.
- W4366293746 cites W1970526131 @default.
- W4366293746 cites W1970785480 @default.
- W4366293746 cites W1977081091 @default.
- W4366293746 cites W1996955271 @default.
- W4366293746 cites W1998478329 @default.
- W4366293746 cites W2033387947 @default.
- W4366293746 cites W2040079778 @default.
- W4366293746 cites W2040617029 @default.
- W4366293746 cites W2057167410 @default.
- W4366293746 cites W2060138058 @default.
- W4366293746 cites W2064707416 @default.
- W4366293746 cites W2093419981 @default.
- W4366293746 cites W2095034757 @default.
- W4366293746 cites W2104607608 @default.
- W4366293746 cites W2117375244 @default.
- W4366293746 cites W2133918896 @default.
- W4366293746 cites W2134377844 @default.
- W4366293746 cites W2134597112 @default.
- W4366293746 cites W2148181747 @default.
- W4366293746 cites W2164556382 @default.
- W4366293746 cites W2170341368 @default.
- W4366293746 cites W2333798941 @default.
- W4366293746 cites W2340010131 @default.
- W4366293746 cites W2431644746 @default.
- W4366293746 cites W2528924163 @default.
- W4366293746 cites W2536709198 @default.
- W4366293746 cites W2567503091 @default.
- W4366293746 cites W2606013951 @default.
- W4366293746 cites W2611680186 @default.
- W4366293746 cites W2725775500 @default.
- W4366293746 cites W2740621908 @default.
- W4366293746 cites W2745443951 @default.
- W4366293746 cites W2783852654 @default.
- W4366293746 cites W2791295404 @default.
- W4366293746 cites W2801091865 @default.
- W4366293746 cites W2884797882 @default.
- W4366293746 cites W2889589921 @default.
- W4366293746 cites W2891906292 @default.
- W4366293746 cites W2942242324 @default.
- W4366293746 cites W2944722412 @default.
- W4366293746 cites W2946586549 @default.
- W4366293746 cites W2949668662 @default.
- W4366293746 cites W2965281435 @default.
- W4366293746 cites W2966651007 @default.
- W4366293746 cites W2983668688 @default.
- W4366293746 cites W2996013185 @default.
- W4366293746 cites W3000776101 @default.
- W4366293746 cites W3007340093 @default.
- W4366293746 cites W3024305205 @default.
- W4366293746 cites W3045366558 @default.
- W4366293746 cites W3081752501 @default.
- W4366293746 cites W3094428736 @default.
- W4366293746 cites W3109144644 @default.
- W4366293746 cites W3128384652 @default.
- W4366293746 cites W3132148284 @default.
- W4366293746 cites W3141017926 @default.
- W4366293746 cites W3148213032 @default.
- W4366293746 cites W3189755155 @default.
- W4366293746 cites W3196964499 @default.
- W4366293746 cites W3217738356 @default.
- W4366293746 cites W4211238337 @default.
- W4366293746 cites W4214854118 @default.
- W4366293746 cites W4221107563 @default.
- W4366293746 cites W4283366078 @default.
- W4366293746 cites W4285732746 @default.
- W4366293746 cites W4286559965 @default.
- W4366293746 cites W4293045604 @default.
- W4366293746 cites W4308298493 @default.
- W4366293746 cites W4309516789 @default.
- W4366293746 cites W2991343947 @default.
- W4366293746 doi "https://doi.org/10.3389/fdgth.2023.1157654" @default.
- W4366293746 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37153516" @default.
- W4366293746 hasPublicationYear "2023" @default.
- W4366293746 type Work @default.
- W4366293746 citedByCount "1" @default.
- W4366293746 countsByYear W43662937462023 @default.
- W4366293746 crossrefType "journal-article" @default.
- W4366293746 hasAuthorship W4366293746A5041763620 @default.
- W4366293746 hasAuthorship W4366293746A5056825701 @default.
- W4366293746 hasAuthorship W4366293746A5075516892 @default.
- W4366293746 hasAuthorship W4366293746A5088181038 @default.
- W4366293746 hasBestOaLocation W43662937461 @default.
- W4366293746 hasConcept C121446783 @default.