#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
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
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
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
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
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
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
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
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
@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
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
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
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
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
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
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