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

Joined March 2009
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11 Sep 2015
How do you measure your #marketing ? Make smarter decisions E-VAI #pharma #DeepLearning buff.ly/1Nu2dhF
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31 Oct 2022
#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. podcasts.apple.com/ie/podcas… #ai
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30 Oct 2022
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. bit.ly/3RASWbX
29 Oct 2022
#AI in #marketaccess would give some good indications of what you need to do to change to drive further growth. podcasts.apple.com/ie/podcas… #healthcare
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26 Oct 2022
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: podcasts.apple.com/ie/podcas…
25 Oct 2022
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
25 Oct 2022
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: podcasts.apple.com/ie/podcas… #futuretechnology
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24 Oct 2022
The intersection between mathematics and computing. #artificialintelligence and #BigPharma podcasts.apple.com/ie/podcas…
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23 Oct 2022
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! podcasts.apple.com/ie/podcas…
23 Oct 2022
Using 3D printing for drugs is a big step forward in patient adherence, which has been positively linked to ease of administration and swallowing. bit.ly/3RASWbX #3Ddrugprinting
22 Oct 2022
One of the most important consequences of #3Dprinting of #drugs has been the democratization of manufacturing. bit.ly/3RASWbX #ai
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20 Oct 2022
Once identified and structured, data can be used in downstream analysis for a host of data-driven decisions. bit.ly/3QPFG1G #healthcare
19 Oct 2022
Of course, 3D printing of drugs is a new technology, and there is still much to be learned about the process and outcomes. bit.ly/3RASWbX #pharma
18 Oct 2022
The questions of data ownership and privacy are at the core of most discussions around Big Data and artificial intelligence these days. bit.ly/3QPFG1G #futuretech
17 Oct 2022
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. podcasts.apple.com/ie/podcas… #marketaccess
15 Oct 2022
AI can ensure that the pricing is right for a drug and if you get your drug pricing wrong, it's a big issue. podcasts.apple.com/ie/podcas… #pharmaceutical #bigpharma #marketaccess
14 Oct 2022
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: bit.ly/3QPFG1G
14 Oct 2022
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! podcasts.apple.com/ie/podcas… #futuretechnology
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13 Oct 2022
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. bit.ly/3QPFG1G #biotech
12 Oct 2022
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. bit.ly/3QPFG1G #artificialintelligence
12 Oct 2022
The implications for #3Dprinting of #drugs for rural hospitals and treatment centers are especially exciting. With limited storage and budgets, these institutions have had to historically pick and choose what medications they keep on hand. bit.ly/3RASWbX #pharma