Back to search

Article

Bridging the gap between <i>in silico</i> and <i>in vivo:</i> modeling opioid disposition in a kidney proximal tubule microphysiological system

2020-12-06

Abstract excerpt

<h4>Background</h4> Opioid overdose, dependence, and addiction are a major public health crisis. Patients with chronic kidney disease (CKD) are at high risk of opioid overdose, therefore novel methods that provide accurate prediction of kidney clearance (CL r ) and systemic disposition of opioids in CKD patients can facilitate the optimization of therapeutic regimens. <h4>Methods</h4> We conducted prediction o...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
26149b7a-2027-50a4-bc03-99d68ee9e3c3
DOI
10.1101/2020.12.04.412239
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Bridging the gap between <i>in silico</i> and <i>in vivo:</i> modeling opioid disposition in a kidney proximal tubule microphysiological systemDOI 10.1101/2020.12.04.412239
Select a neighboring publication to make it the new centre.