Barely Significant
← all phrases

“may be significant”

13,098 sentences · 13,098 papers · 69,431 search hits before verification

In the literature

Future Considerations of Encapsulation The available evidence suggests that the therapeutic benefits derived from using encapsulated curcumin may be significant and future research is required to focus efforts on the enhancement of oral absorption and the bioavailability of curcumin as this will facilitate an understanding of this therapeutic agent for clinical treatment of human disease [ 169 ].
However, there are several points of concern: (a) our approximate and exact equations do not include the effects of wire-to-wire capacitances, and these may be significant; (b) the out-of-phase component of V H (3,4) has been reduced to about 1 × 10 −4 R H I Ot by removing lead 5, but great care must be taken to correct for the in-phase (phase defect) contributions of the bridge components used to null the out-of-phase signal because these in-phase (phase defect) signals can be unintentionally added to the real, second-order terms of the in-phase component of V H (3,4) in Eqs.
Our study may be significant for better understanding the mechanisms of STZ action in chemotherapy and drug induced toxicity. streptozotocin HepG2 cells mitochondria oxidative stress GSH ROS pmc-status-qastatus 0 pmc-status-live yes pmc-status-embargo no pmc-status-released yes pmc-prop-open-access yes pmc-prop-olf no pmc-prop-manuscript no pmc-prop-legally-suppressed no pmc-prop-has-pdf yes pmc-prop-has-supplement no pmc-prop-pdf-only no pmc-prop-suppress-copyright no pmc-prop-is-real-version no pmc-prop-is-scanned-article no pmc-prop-preprint no pmc-prop-in-epmc yes pmc-license-ref CC BY 1.
In addition to peer-reviewed articles, a grey literature search was conducted using Google to identify preprints and unpublished studies with substantial data, specifically non-peer-reviewed evidence, such as government reports, organizational white papers, or preprint studies, which may be significant in the rapidly evolving field of AI in healthcare.
But when modeled collectively using interaction terms, the combined effect of covariates may be significant. 1 , 2 Modeling approaches that quantify these interactions between variables across a target population may be used to optimize starting and continued dosing, an important consideration for model‐informed precision dosing (MIPD). 3 Physiologically‐based pharmacokinetic (PBPK) modeling is well‐suited for MIPD due to its highly mechanistic basis and the ability to consider concurrently the impact of patient, drug, and environmental variables on PKs.
10 Increasingly, the role of nonhuman actors, such as animals and technologies (to name a few), are also recognised as shaping interactions and social processes and therefore may be significant for how pain diagnosis emerges. 11 While guidance around veterinary treatment decision making requires the consideration of a number of factors, there has been little empirical study of peoples' every day experiences, especially in the context of chronic pain management.