Quantify Chronic Lower Back Pain Clinical Outcomes Database

The current version of the database includes clinical safety and efficacy information on treatment options currently approved or in development for chronic lower back pain. The current version of the database includes information on all systemic pharmacological interventions. This includes mono and combination therapy with NSAIDs, acetaminophen, opioids, COX-2 inhibitors, norepinephrine reuptake inhibitors, anti-NGF, anti-epileptic drugs (AEDs), antidepressants, and muscle relaxants.

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Quantify Neuropathic Pain Clinical Outcomes Database

The current version of the database includes clinical safety and efficacy information on treatment options currently approved or in development for painful diabetic neuropathy (DPN), post herpetic neuralgia (PHN), or fibromyalgia. Information on older treatment options (such as tricyclic antidepressants) was included if they are used as active controls.

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Certara’s Best of Blogs 2016

A selection of short essays from our blog, written to empower our customers with modeling and simulation (M&S) and regulatory writing solutions in order to help them solve the toughest drug development problems. Certara staff contributions range in topic from pharmacometrics to systems biology to the growing importance of regulatory writing and sharing clinical trial results.

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The Pharmacokinetics of Transdermal Flunixin Meglumine in Holstein Calves

This study describes the pharmacokinetics of topical and intravenous (IV) flunixin meglumine in Holstein calves. Eight male Holsteins calves, aged 6 to 8 weeks, were administered flunixin at a dose of 2.2 mg/kg intravenously. Following a 10-day washout period, calves were dosed with flunixin at 3.33 mg/kg topically (transdermal). Blood samples were collected at predetermined times from 0 […]

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Modeling and Simulation Guides Dosing for a New Anti-psychotic Drug

Karen Rowland Yeo

Drug development is becoming more complex than ever. Regulatory agencies expect sponsors to consider a wide variety of intrinsic and extrinsic factors that could impact drug safety and efficacy. These factors include intrinsic variability― CYP metabolizer status, age, sex, renal/hepatic impairment― as well as external variables― co-medications, food effects, smoker status, etc. Clinical trials alone […]

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Topics: PBPK Modeling & Simulation

Can QSP Save Lives? Lessons from a Trial Debacle

Neil Benson

The notion that volunteers could be harmed in a clinical trial is every drug developer’s worst nightmare. Earlier this year, the drug company, Bial, investigated inhibitors of the enzyme fatty acid amide hydrolase (FAAH) in clinical trials as a treatment for pain. Tragically, one person in the volunteer group died, and six patients were hospitalized. […]

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Topics: Systems Pharmacology

Learning from Failure: Leveraging Biosimulation for Pediatric Drug Development Success

The high rate of trial failures, increasing regulatory demands, and ethical imperatives all require a reexamination of the current approach to pediatric drug development. Biosimulation is a proven approach that will help optimize trial design and inform the drug label. This approach can support global regulatory strategies that increase the likelihood of success for pediatric drug development programs.

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Development of a Permeability-limited Model of the Human Brain and Cerebrospinal Fluid (CSF) to Integrate Known Physiological and Biological Knowledge: Estimating Time Varying CSF Drug Concentrations and Their Variability Using In Vitro Data

A 4-compartment permeability-limited brain (4Brain) model consisting of brain blood, brain mass, cranial and spinal cerebrospinal fluid (CSF) compartments has been developed and incorporated into a whole body physiologically-based pharmacokinetic (PBPK) model within the Simcyp Simulator. The model assumptions, structure, governing equations and system parameters are described. The model in particular considers the anatomy and […]

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Can QSP Save Lives? Lessons from the Bial Trial Debacle

One of the biggest challenges for the pharmaceutical industry is the high rate of drug attrition in Phase 2 clinical trials, which wastes significant amounts of money and time. The major reasons for this attrition are that either candidate drugs do not show efficacy or have unexpected toxicity, in turn implying that we did not fully understand the complexity of the biology the candidate drugs were designed to modulate.

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