Drug Discovery World
JULY 18, 2022
Big data and AI are all the rage. But, beyond these buzzwords and the quantity of data, what’s next for these powerful tools? His work provides insight into AI and big data in relation to pharma and drug discovery– now and in the future. “AI Up front collection and controlling your data! His advice?
Drug Discovery World
FEBRUARY 6, 2024
Biopharma and biotech companies without these capabilities are keen to harness these technologies and the number of strategic partnerships with such companies is accelerating at an unprecedented rate.
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pharmaphorum
JULY 14, 2022
A pilot study has been launched by the EMA to see whether it is helpful for regulators to look at the ‘raw data’ from clinical trials submitted in support of new marketing application along with the usual structured analyses from sponsors.
Cloudbyz
SEPTEMBER 25, 2020
Time is also of the essence in drug development, as competitive product-to-market lead times help pharma companies improve profitability. MEDIKURA Digital Health – Post-Market Drug Safety. Even drugs that have been in the market for many years require continuous monitoring of adverse events and drug reactions.
Drug Discovery World
JULY 3, 2024
NM: So, what we’re interested in the Milner is basically partnering between pharma and academia. We have a big consortium agreement that, at the moment, involves 14 pharma companies. MT: What are the challenges in taking this to market? NM: I think probably it’s big data.
Drug Discovery World
JULY 3, 2024
NM: So, what we’re interested in the Milner is basically partnering between pharma and academia. We have a big consortium agreement that, at the moment, involves 14 pharma companies. MT: What are the challenges in taking this to market? NM: I think probably it’s big data.
pharmaphorum
FEBRUARY 1, 2022
Across the industry, pharma companies are turning to AI and real-world data to address many of the challenges of running clinical trials. Can the combined potential of new AI technologies and real-world patient data hold the key to overcoming the challenges in clinical trial design that have historically led to trial failure?
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