Big Data Clinical Research Clinical Trials Development 
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.’”
pharmaphorum
MARCH 11, 2021
Real-world evidence (RWE) is emerging as an important area of research to reveal, in real time, new insights and innovations and is accelerating the development of new and innovative therapies and treatments to improve patient outcomes. The webinar will also cover: The challenges of RWE research and how they are being overcome.
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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?
pharmaphorum
SEPTEMBER 16, 2022
With approximately one third of all current FDA-approved drugs targeting GPCRs, Verily/Sosei Heptares are looking to expedite GPCR research within not only immunology, but also gastroenterology and immuno-oncology as well, and the latest data bodes well for future development of therapeutic options in these areas.
Rethinking Clinical Trials
JUNE 26, 2023
Pérez-Stable, MD, Director of the National Institute on Minority Health and Health Disparities (NIMHD), shared his thoughts on national priorities for reducing health disparities and opportunities for clinical researchers to help promote health equity. He recommended sitting down with people as equals to co-develop research.
pharmaphorum
APRIL 22, 2021
Real-world evidence (RWE) is emerging as an important area of research to reveal, in real time, new insights and innovations and is accelerating the development of new and innovative therapies and treatments to improve patient outcomes.
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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