EULARIS

Accelerating growth through insightful intelligence with our next gen #AI advanced #pharma marketing #analytics.

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How do you measure your #marketing ? Make smarter decisions E-VAI #pharma #DeepLearning http://t.co/rTiesQG8l8

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#AI can start with the medical and clinical data, with the underlying evidence. In the case of being a payer, it can answer the question, how to pay getting the maximum or in this way, the minimum price out there. https://t.co/VzN5F87I8m #ai

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In one recent trial of #3Dprinted #polypills printed using a technique known as #stereolithography, the authors discovered that one of the component drugs, amlodipine, interacted with the photopolymers used in the printing process, rendering it inert. https://t.co/4Ck68ePqF9

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#AI in #marketaccess would give some good indications of what you need to do to change to drive further growth. https://t.co/VzN5F87I8m #healthcare

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You can get artificial intelligence to write submissions in the right language for a particular group. There's a lot of #linguistics involved with it but it can make a big impact. More about #artificial_intelligence in #marketaccess here: https://t.co/VzN5F87I8m

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And a lot of pharma companies actually know who's on committee from the reps, you know, the hospital teams. And within 15 minutes, five to 15 minutes, you'll have the answer and a visualization that's see already, you know, C-suite ready. #pharmaceutical

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Even in complex situations when there are biosimilars, not in the same area or proxy biosimilars, #ai can help identify something that actually makes sense. Learn more: https://t.co/VzN5F87I8m #futuretechnology

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The intersection between mathematics and computing. #artificialintelligence and #BigPharma https://t.co/VzN5F8piZU

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If it's an orphan drug, a digital health application, a digital health monitoring system, a medical device, an inpatient on outpatient setting, analysing data can be tricky. #artificial_intelligence can help! https://t.co/VzN5F8piZU

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Using 3D printing for drugs is a big step forward in patient adherence, which has been positively linked to ease of administration and swallowing. https://t.co/4Ck68ePYuH #3Ddrugprinting

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One of the most important consequences of #3Dprinting of #drugs has been the democratization of manufacturing. https://t.co/4Ck68f71wH #ai

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Once identified and structured, data can be used in downstream analysis for a host of data-driven decisions. https://t.co/Yto867pEKZ #healthcare

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Of course, 3D printing of drugs is a new technology, and there is still much to be learned about the process and outcomes. https://t.co/4Ck68f71wH #pharma

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The questions of data ownership and privacy are at the core of most discussions around Big Data and artificial intelligence these days. https://t.co/Yto86783Tr #futuretech

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@AudienseCo even has a free version of their platform where someone could actually come and try it and see how it works. @cserrita22 Carlos Serra tells us more about his platform here: https://t.co/2v1ECoPIPT #pharmaceuticals

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AI in the background of market market access (one of the most complex parts within the pharma value chain). For example, clinical trial data or claims data or real world data. AI cuts through the complexity of it all. https://t.co/VzN5F88fXU #marketaccess

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AI can ensure that the pricing is right for a drug and if you get your drug pricing wrong, it's a big issue. https://t.co/VzN5F8piZU #pharmaceutical #bigpharma #marketaccess

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Real-world data, like EHRs and study results, is so incompatible in its current format with the needs of the pharmaceutical industry points to an important structural divide in the healthcare industry. Learn more about how #ai is changing the game here: https://t.co/Yto867pEKZ

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With COVID, a lot of the old #pharma data in so many different areas went out the window because the situation was so different that it didn't make sense the way things were. #AI is transforming all of that now! https://t.co/VzN5F8piZU #futuretechnology

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Data quality and representativity is an important issue when it comes to artificial intelligence in general, and the stakes couldn’t be higher than in healthcare. https://t.co/Yto8678BIZ #biotech

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It is now fairly straightforward to create an NLP solution for pharmaceutical companies that enables them to extract adverse event information from unstructured text inputs and code it into MedDRA data. https://t.co/Yto867pEKZ #artificialintelligence