ACRP blog
JUNE 7, 2023
If you hadn’t already noticed, the clinical research enterprise has well and truly entered the era of “big data,” artificial intelligence (AI), and machine learning. In other words, it’s about delivering ‘the right treatment to the right patient at the right time.’”
ACRP blog
APRIL 5, 2023
AI is increasingly important in drug discovery and development as well as clinical trials, operations, pharmacovigilance, and many other areas.” This will also allow companies to utilize advanced computational models to find better treatments more quickly while also reducing costs associated with drug development.
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Drug Discovery World
JULY 20, 2023
The EMA has published a draft reflection paper outlining the current thinking on the use of artificial intelligence (AI) to support the safe and effective development, regulation and use of medicines. The use of AI is rapidly developing in society and as regulators we see more and more applications in the field of medicines.
pharmaphorum
APRIL 8, 2022
The webinar will also cover: How the necessary routine and research data can be collected in registries in a further processable form by patients and healthcare professionals. Optimising and exploiting data for use in rare disease-specific research and studies. About the panel.
pharmaphorum
FEBRUARY 11, 2022
It’s our representation of tracking the deidentified, which is important from a privacy and compliance point of view,” Sun says. “It Instead, Komodo’s software is the gateway to the Map’s data. External developers can use Komodo’s platform and build analytics modules to explore other use cases using low code or no-code environments.
pharmaphorum
OCTOBER 16, 2020
With large datasets crucial to gaining an understanding of rare diseases and opening the door to drug development, digital technology is proving transformative. Many are working to develop registries (some using wearable technologies or apps) and natural history studies, which means that ever-greater volumes of data are being produced.
XTalks
JANUARY 20, 2022
Data analytics and digital transformation: A consultant in this role would work to help a client transition to using the latest big data analytical methods and incorporate digital technologies such as artificial intelligence, cloud computing, machine learning and augmented/virtual reality.
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