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Application note: Verification of pharmaceutical raw materials using the Spectrum Two N FT-NIR Spectrometer
| November 1, 2017
Regulatory Affairs Specialists with clients ranging from start-up biotechs to multinational pharmaceutical companies.
Cambridge Regulatory Services has expertise and.
Article | March 26, 2020
Big pharma stocks have been clobbered during the coronavirus-caused stock market crash. You can count the number of drugmakers with market caps of $25 billion or more whose shares haven't dropped by double-digit percentages on one hand -- and have several fingers left over. Three big pharma stocks have plunged the most: AbbVie (NYSE:ABBV), Bristol Myers Squibb (NYSE:BMY), and Pfizer (NYSE:PFE). But are these stocks smart picks to buy right now?
Over the past half-century, clinical trials have grown increasingly complex. A flood of new data from novel sources combined with more elaborate study designs and tougher regulatory standards have lengthened timelines and hiked costs, contributing to a steady decline of efficiency. It all adds up: Nearly half of all drug launches underperform revenue expectations. And if that isn’t enough, the outbreak of COVID-19 worldwide is having an effect on how life sciences companies operate their businesses, including how clinical trials are conducted. Most clinical trial research organizations have tried to adapt by tweaking a platform here, adding a new app there, but this has only yielded patchwork systems of sites, spreadsheets and dashboards that further burden the process.
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.
In a way, getting through the initial stages of a complex pharmaceutical project that is being outsourced to a contract development and manufacturing organization is like getting a rocket off the ground. Many drug developers express frustration with the time it often takes during the initial stages of working with a CDMO — from the time they first reach out to a CDMO for help until they receive a proposal. Some have described it as months of silence from when they send a request for proposal (RFP) until they have a proposal in hand.
The initial stages of a relationship between drug sponsor and CDMO often do not get the attention it deserves, and valuable time is lost, delaying projects and delaying delivery of therapeutics to patients. The quick scheduling of the ACT meeting with the right attendees can deliver immediate answers to key questions needed by the drug sponsor for effective planning and can help propel projects to a successful launch.
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