Alnylam Act - No Charge, Third Party Genetic Testing & Counseling

| June 27, 2019

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Learn about Alnylam Act, Alnylam’s no charge, third party genetic testing and counseling service for individuals who may carry gene mutations known to be associated with either hereditary ATTR (hATTR) amyloidosis, acute hepatic porphyria (AHP), or primary hyperoxaluria type 1 (PH1). Get more information at AlnylamAct.com.

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CURAM Centre for Research in Medical Devices

CÚRAM is a multidisciplinary research centre advancing R&D in the medical device sector. Supported by Science Foundation Ireland and industry partners, CÚRAM enhances Ireland’s standing as a major hub for the global medical devices industry.

OTHER ARTICLES

The Future of Pharma Beyond Blockbusters

Article | March 17, 2020

We’ve all heard the saying “treat the patient, not the disease”, and this couldn’t be truer in today’s ever-changing pharmaceutical landscape. We are living in a time of revolution – advancements in genomics and technology are improving our ability to develop precise drugs and targeted therapies, rather than focusing on a one size fits all approach. Each individual’s genetic makeup is slightly different from everyone else’s,

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Pricing of drugs – at what cost?

Article | February 27, 2020

We go into a doctor’s office and leave with a diagnosis and a prescription. Next we stop by the pharmacy. In Germany, if your insurance is not private, you mostly don’t even know the price of your drug because it’s paid for directly by your insurance. You only notice the 5-10 Euros copay. But how is a drug priced in Germany? And (how) does data play a role in helping pharma secure an attractive price point? Let’s fast forward directly to the launch of a new drug. At the time of launch, the pharmaceutical company has to present patient level evidence of the drug’s added value compared to existing comparative therapies. In the first year, however, the drug’s price can be defined freely by the company.

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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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Enabling Active Pharma Ingredients for Batch Balancing and Integration to SAP EWM

Article | April 6, 2020

Batch and its Classification system are two most potent weapons used in Chemical, Pharma or Medical life science industry to record the potency of a batch or technically called as Active Pharma Ingredients(API). These material consist of one or more active ingredients, concentrates, carrier materials, or impurities, and so on. The potency of the active ingredients varies from batch to batch. The active ingredient is the substance of greatest interest in the bill of materials, the proportion of which may vary from batch to batch. Therefore, during creation of a process order, the system must be able to select and adjust the batches needed to obtain the required amount of active ingredient. Take an example of a drug hydroxychloroquine which is used as potent weapon to fight COVID-19. This drug is manufactured by using API, however, the Potency of this API material vary from batch to batch. To map this kind of requirement in SAP ERP, SAP calls it as Material Quantity Calculation.

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Spotlight

CURAM Centre for Research in Medical Devices

CÚRAM is a multidisciplinary research centre advancing R&D in the medical device sector. Supported by Science Foundation Ireland and industry partners, CÚRAM enhances Ireland’s standing as a major hub for the global medical devices industry.

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