An Informatics Bridge to Improve the Design and Efficiency of Phase I Clinical Trials for Anticancer Drug Combinations.
Lei WangLai WeiShijun ZhangLijun ChengAditi ShendreWilliams CarsonJames L ChenDwight H OwenMegan GregoryLang LiPublished in: Cancer research communications (2022)
Prior preclinical and clinical knowledge is critical for designing effective and efficient cancer drug combinatory trials. We reported results on the feasibility and utility of different informatics resources for contributing to and assisting phase I trial designs based on our designed classification approach. We also found that public data sources contained significant knowledge for drug combination phase I trial design, but some critical data elements (MTD and DLT) were missing.
Keyphrases
- clinical trial
- electronic health record
- healthcare
- big data
- phase ii
- phase iii
- adverse drug
- study protocol
- machine learning
- papillary thyroid
- mental health
- deep learning
- drinking water
- squamous cell carcinoma
- open label
- stem cells
- emergency department
- artificial intelligence
- young adults
- squamous cell
- cell therapy
- double blind
- placebo controlled