EU suspends drugs from Granules’ Indian facility where FDA had no concerns

| February 2, 2017

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the US Food and Drug Administration (FDA) inspected a facility in India belonging to Granules India that manufactures pharmaceutical formulation intermediates (PFIs) and finished dosage forms (FDFs). The FDA had no observations.

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OTHER ARTICLES

Clinical Supply Availability & Speed to Study Start-Up

Article | March 26, 2020

If you’re part of a clinical study team racing a new product to commercialization, you likely live by these two simple rules: time is money, and the first one to market wins. But just because it’s simple doesn’t mean it’s easy. That ticking clock is background noise to the responsibilities of regulations, study protocols, supply chains, and patient recruitment — all the details that must be worked out before a study can even begin. The pressure is always there. The longer it takes for a study to start, the longer it takes to complete.

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Top Pharmaceutical Firms Urge FDA to Adopt Blockchain for Drug Tracking

Article | February 25, 2020

Leading market participants in the United States pharmaceutical industry, logistics firms, distributors and other stakeholders in the pharma supply chain have come together to publish a report buttressing the need for industry players to adopt blockchain for tracking prescription drugs, following the successful completion of a DLT pilot project with the Food and Drug Administration (FDA), according to reports on February 24, 2020. Though nascent, blockchain technology, the building blocks of Bitcoin (BTC) and other cryptocurrencies are fast gaining ground across various ecosystems, due to its immutability, security, privacy, and other intricate properties. In the latest development, 25 leading manufacturers of pharmaceutical products, logistics partners and other market participants in the pharma supply chain, have published a report that highlights the importance of blockchain technology in drug traceability.

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New Dimensions of Clinical Trial Optimization

Article | April 20, 2021

For much of the past three decades, even as methodologies for clinical trial design have advanced and refined, the idea of the optimized clinical trial has centered on optimal patient samples, target enrollment rates, and generally the most efficient uses of scarce resources in the form of patients. Yet anyone who has had to design and optimize a clinical trial, knows that trial optimization occurs within an ecosystem of choices; a series of choices that stretch from the time it takes to implement a clinical trial and submit clinical data for analysis, to general concerns about the cost and power of a clinical trial. A true clinical trial optimization process would try to unify a number of these choices into a single framework for trial optimization. The complexity of clinical trial optimization comes from the need to align priorities on the one hand, and to understand opportunities on the other. We know that at a very general level, clinical operations specialists benefit from simplicity in clinical trial design, and that commercial teams prefer shorter clinical trials to longer ones. We also know that the statistical design of a clinical trial can influence both simplicity and duration. Yet how many sponsors have their clinical operations and commercial teams, sit with their R&D teams to review various statistically nuanced design options? For many sponsors, the reason this process does not occur as often as it should, is because the nuanced statistical parameters of a clinical trial design are very difficult to communicate to non-statisticians. Yet a trial optimization tool like Solara, equipped with data visualizations and the ability to see tradeoffs intuitively, can overcome this challenge. The real challenge is often convincing the non-statistician that they have a stake in clinical trial design. Cytel recently had a client that thought it needed a sample size re-estimation design, because it had a very strict limit on the number of patients it could enroll. After a few hours of working with Solara, though, a statistician discovered that a much simpler Group Sequential Design would deliver comparable power using about the same number of patients. The gains from the more complex design were minimal from the optimization perspective, when understood as the eco-system of choices. Similarly, most commercial teams pressure their clinical trial designers to have the most accelerated clinical trial imaginable, but as we all know, the longer the clinical trial the more likely there will be a higher number of events that demonstrate the effectiveness of a new medicine. So commercialization teams have a stake in longer clinical trials, even when their rule of thumb is to shorten them. Therefore, it is absolutely essential to communicate the benefits of various statistical designs to multiple stakeholders in a way that makes tradeoffs clear. Aligning on priorities early during the clinical trial design process is essential to selecting the optimal clinical trial. Yet for this statisticians need to be equipped for both a strategic and communicative role in the R&D process.

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Merck’s Patient-Centric Clinical Trial Recruiting

Article | March 4, 2020

Everyone in pharma knows that product success depends on the results of clinical trials — but we don’t usually hear from the people who are involved in running them. Recently, four Clinical Research Managers (CRM) from Merck (known as MSD outside the United States and Canada) discussed how Merck is overcoming the barriers to clinical trial recruitment by adopting a patient-centric process — a model that affects their trials top to bottom, from design through implementation. Each of the panel members manages clinical trials, serving as the main point of interaction with the Clinical Research Associates (CRAs) on research requirements, goals, and resources, including recruiting and retention.

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