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10.1002/trc2.12053 http://scihub22266oqcxt.onion/10.1002/trc2.12053 33163611!7606183!33163611     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33163611&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Alzheimers+Dement+(N+Y) 2020 ; 6 (1): e12053 Nephropedia Template TP {{tp|p=33163611|t=2020. A modeling informed quantitative approach to salvage clinical trials interrupted due to COVID-19 |pdf=|usr=}}{{33163611}} gab.com Text A modeling informed quantitative approach to salvage clinical trials interrupted due to COVID-19 JO: Alzheimers Dement (N Y) http://www.kidney.de/pget.php?&tw=1&pmid=33163611 #FOAvip Many ongoing Alzheimer's disease central nervous system clinical trials are being disrupted and halted due to the COVID-19 pandemic. They are often of a long duration' are very complex; and involve many stakeholders, not only the scientists and regulators but also the patients and their family members. It is mandatory for us as a community to explore all possibilities to avoid losing all the knowledge we have gained from these ongoing trials. Some of these trials will need to completely restart, but a substantial number can restart after a hiatus with the proper protocol amendments. To salvage the information gathered so far, we need out-of-the-box thinking for addressing these missingness problems and to combine information from the completers with those subjects undergoing complex protocols deviations and amendments after restart in a rational, scientific way. Physiology-based pharmacokinetic (PBPK) modeling has been a cornerstone of model-informed drug development with regard to drug exposure at the site of action, taking into account individual patient characteristics. Quantitative systems pharmacology (QSP), based on biology-informed and mechanistic modeling of the interaction between a drug and neuronal circuits, is an emerging technology to simulate the pharmacodynamic effects of a drug in combination with patient-specific comedications, genotypes, and disease states on functional clinical scales. We propose to combine these two approaches into the concept of computer modeling-based virtual twin patients as a possible solution to harmonize the readouts from these complex clinical datasets in a biologically and therapeutically relevant way. Twit Text FOAVip A modeling informed quantitative approach to salvage clinical trials interrupted due to COVID-19 ????Alzheimers Dement (N Y) http://www.kidney.de/pget.php?&tw=1&pmid=33163611 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33163611 #FOAvip English Wikipedia <ref>{{Cite pmid|33163611}}</ref> A modeling informed quantitative approach to salvage clinical trials interrupted due to COVID-19 #MMPMID33163611 Geerts H; van der Graaf P Alzheimers Dement (N Y) 2020[]; 6 (1): e12053 PMID33163611show ga Many ongoing Alzheimer's disease central nervous system clinical trials are being disrupted and halted due to the COVID-19 pandemic. They are often of a long duration' are very complex; and involve many stakeholders, not only the scientists and regulators but also the patients and their family members. It is mandatory for us as a community to explore all possibilities to avoid losing all the knowledge we have gained from these ongoing trials. Some of these trials will need to completely restart, but a substantial number can restart after a hiatus with the proper protocol amendments. To salvage the information gathered so far, we need out-of-the-box thinking for addressing these missingness problems and to combine information from the completers with those subjects undergoing complex protocols deviations and amendments after restart in a rational, scientific way. Physiology-based pharmacokinetic (PBPK) modeling has been a cornerstone of model-informed drug development with regard to drug exposure at the site of action, taking into account individual patient characteristics. Quantitative systems pharmacology (QSP), based on biology-informed and mechanistic modeling of the interaction between a drug and neuronal circuits, is an emerging technology to simulate the pharmacodynamic effects of a drug in combination with patient-specific comedications, genotypes, and disease states on functional clinical scales. We propose to combine these two approaches into the concept of computer modeling-based virtual twin patients as a possible solution to harmonize the readouts from these complex clinical datasets in a biologically and therapeutically relevant way. ?A modeling informed quantitative approach to salvage clinical trials i(epmc).pdf DeepDyve Pubget Overpricing