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. As a result, the time required to design, launch, and execute high-impact clinical trials is significantly reduced.”
AuroBlog - Aurous Healthcare Clinical Trials blog
MARCH 15, 2023
Some of the medical advances with the technology are genomics and epigenetics, Big Data, AI and ML which are allowing molecular […] Technology adoptions like artificial intelligence and machine learning are bringing in major transformation in the way a primary physician will extend treatment protocols.
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Drug Discovery World
JULY 11, 2023
Drug discovery and development timelines can span 10-15 years or more from initial discovery to market approval and typically require the analysis of massive amounts of data. Clinical Decision Support Software, Guidance for Industry and Food and Drug Administration Staff Document issued on September 28, 2022.
Drug Discovery World
AUGUST 24, 2023
This is the latest episode of the free DDW narrated podcast, “What lies in the future for genomics and big data?”, ”, which covers two articles written for Volume 23, Issue 3 – Summer 2022 of DDW.
pharmaphorum
SEPTEMBER 16, 2022
Essentially, the collaboration brought together both “the right expertise and the right technology”, opening up myriad possibilities for targeting GPCRs within the human genome. It also bodes well for improving clinical trial success rates. A notable issue with clinical trials is the homogeneity of the patient database.
Drug Discovery World
DECEMBER 27, 2023
Ng is working on critical challenges in clinical trials, specifically in planning and recruitment, and has been building innovative solutions designed to benefit patients and researchers – with a focus on efficiency, transparency and diversity in clinical development. Listen here. Listen here.
Drug Discovery World
FEBRUARY 6, 2024
As AI-designed drugs start to enter large-scale clinical trials, DDW’s Diana Spencer investigates how new digital tools are reinventing and reshaping drug discovery for the future. Automation is also being applied to genomics sample preparation, an area that requires particular robustness and scalability.
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