The Use of Artificial Intelligence in Drug Development: A Cross-Sectional Study
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The Use of Artificial Intelligence in Drug Development: A Cross-Sectional Study. / Druedahl, Louise C.; Price II, William Nicholson; Minssen, Timo; Sarpatwari, Ameet .
In: JAMA network open, 31.05.2024.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - The Use of Artificial Intelligence in Drug Development: A Cross-Sectional Study
AU - Druedahl, Louise C.
AU - Price II, William Nicholson
AU - Minssen, Timo
AU - Sarpatwari, Ameet
PY - 2024/5/31
Y1 - 2024/5/31
N2 - This study found modest use of AI for drug development focused primarily on early-stage applications and on anticancer and neurological therapies. Possible explanations include a lack of high-quality data available in the subsequent stages of drug discovery and uncertain regulatory expectations concerning late-stage AI applications. Study limitations included relying upon public disclosures by drug manufacturers. Ultimately, this study’s results suggest that greater clarity from medicines regulators is needed to guide sponsors over acceptable AI standards and applications to satisfy marketing authorization requirements.
AB - This study found modest use of AI for drug development focused primarily on early-stage applications and on anticancer and neurological therapies. Possible explanations include a lack of high-quality data available in the subsequent stages of drug discovery and uncertain regulatory expectations concerning late-stage AI applications. Study limitations included relying upon public disclosures by drug manufacturers. Ultimately, this study’s results suggest that greater clarity from medicines regulators is needed to guide sponsors over acceptable AI standards and applications to satisfy marketing authorization requirements.
UR - https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2819343?widget=personalizedcontent&previousarticle=2812417
U2 - 10.1001/jamanetworkopen.2024.14139
DO - 10.1001/jamanetworkopen.2024.14139
M3 - Journal article
JO - JAMA network open
JF - JAMA network open
SN - 2574-3805
ER -
ID: 374528028