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With machine learning and bigdata analytics, companies can now predict market trends, enhance drug development, and create hyper-personalized campaigns. Bigdata analytics plays a crucial role in identifying prescribing patterns, understanding patient behaviors, and tailoring content strategies.
Time is also of the essence in drug development, as competitive product-to-market lead times help pharmacompanies improve profitability. With the help of artificial intelligence (AI) and individual geneticdata, the software predicts the potential effects drugs have on specific genetic markers.
But although it was dubbed a “dangerous game”, some companies came out on top… On 6th April 1999, two companies with similar science-based cultures and a shared vision of the pharmaceutical industry came together to form what’s now considered as one of the top ten pharmacompanies in the world: AstraZeneca.
Moreover, the adoption of digital tools like mobile apps and telemedicine platforms is facilitating direct communication between pharmacompanies and end-users. As patients become more digitally savvy, pharmacompanies are investing in creating seamless digital experiences that cater to their needs and preferences.
Understanding the Shifts in the Pharma Landscape The pharmaceutical landscape is experiencing significant shifts, primarily due to advancements in technology and the increasing digitization of healthcare. Content marketing is another powerful tool in the pharma marketer’s arsenal.
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