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Does a Bigger Brain Make You Smarter?
| September 13, 2018
Velesco applies nimblocity to your early stage drug development projects, with our proven formulation of expertise, flexibility, dedication, and velocity to clinic.
Article | March 11, 2020
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.
Pharmaceutical stocks have been somewhat of a safe haven for investors as the coronavirus outbreak spread from China to the rest of the world. But as the pandemic deepened, now resulting in more than 782,000 cases worldwide, even these "safer" companies are beginning to feel the effects. The U.S. is now the coronavirus epicenter, with the most cases -- more than 161,000 as of today. Initial concerns for drugmakers had to do with the supply of active pharmaceutical ingredients, which often come from China. The worry was that pharmaceutical companies wouldn't be able to produce enough of their drugs for patients.
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.
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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