Diabetes Facts and Numbers

| November 16, 2018

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November is Diabetes Awareness Month! November 14th marks the birthday of insulin co-discoverer Dr. Frederick Banting and is recognized globally as World Diabetes Day. It is an excellent opportunity to raise awareness about diabetes, a disease that is approaching epidemic proportions globally. Over 100 million Americans are diabetic or prediabetic. 9.4% of the U.S population has diabetes. Almost 25% of people living with diabetes will not even know they are sick.

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Peloton Therapeutics

Peloton Therapeutics, Inc. is an oncology drug discovery and development company focused on advancing first-in-class small molecule therapies that provide patients suffering from life-threatening diseases with new therapeutic options.

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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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How Pharma Companies Can Scale Up Their Knowledge Discovery with Semantic Similarity Search

Article | April 20, 2021

Pharma has deep roots in human history with centuries of folk pharmaceutical knowledge offering a hit-and-miss range of natural remedies. But the industry as we know it today actually emerged in the second half of the 19th century when the world’s first factory for the sole production of medicines was found. By the late 19th and early 20th century, some chemical companies had already begun using research labs to explore the medical applications for their products. Fast forward to today and the pharmaceutical sector is a global trillion-dollar industry. However, to ensure the safety and efficacy of drugs, the process of drug discovery and development is under extensive scrutiny and control on both national and global levels.

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How Can Medical Cannabis Help to Manage Pain Conditions? – The Cannabis Exchange

Article | April 20, 2021

Pain management is one of the most common reasons for the use of medical cannabis products. However, despite many jurisdictions – including Canada, Germany, and the Netherlands – now allowing the prescription of medical cannabis for this purpose, there remains little ‘high-quality’ evidence to support, or oppose its efficacy. Madden et al. (2018) set out to review the evidence available in order to determine the efficacy of medical cannabis when employed in the management of various forms of musculoskeletal pain. The researchers analysed various studies that assessed the use of cannabinoids in the treatment of arthritis pain; back pain; postoperative pain; and trauma-related pain. It is estimated that up to 30% of the population may suffer from a non-cancer-related pain condition. As such a high percentage of people suffer from these conditions, the development of simple and safe therapies is an essential area of research. This is particularly important as the therapeutic options for people with chronic pain are increasingly limited.

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Artificial intelligence in pharma: utilising a valuable resource

Article | April 20, 2021

The pharmaceutical industry is set to greatly benefit from the use of artificial intelligence (AI), due to its wide range of applications. Sydney Tierney discusses how machine learning can enhance marketing, manufacturing and drug trials. Artificial intelligence (AI) can be applied to nearly every aspect of the pharmaceutical and healthcare industry, to enhance data processing. Adopting the technology will reveal the astonishing potential of the healthcare sector, with success rates flying higher than ever before – especially in the research and development of crucial, life-changing drugs.

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Spotlight

Peloton Therapeutics

Peloton Therapeutics, Inc. is an oncology drug discovery and development company focused on advancing first-in-class small molecule therapies that provide patients suffering from life-threatening diseases with new therapeutic options.

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