Semantic Scholar Open Access 2019 464 sitasi

Artificial Intelligence for Clinical Trial Design.

S. Harrer Pratik Shah B. Antony Jianying Hu

Lihat Sumber DOI

Abstrak

Clinical trials consume the latter half of the 10 to 15 year, 1.5-2.0 billion USD, development cycle for bringing a single new drug to market. Hence, a failed trial sinks not only the investment into the trial itself but also the preclinical development costs, rendering the loss per failed clinical trial at 800 million to 1.4 billion USD. Suboptimal patient cohort selection and recruiting techniques, paired with the inability to monitor patients effectively during trials, are two of the main causes for high trial failure rates: only one of 10 compounds entering a clinical trial reaches the market. We explain how recent advances in artificial intelligence (AI) can be used to reshape key steps of clinical trial design towards increasing trial success rates.

Topik & Kata Kunci

Medicine

Penulis (4)

S. Harrer

Pratik Shah

B. Antony

Jianying Hu

Format Sitasi

APA MLA BibTeX

Harrer, S., Shah, P., Antony, B., Hu, J. (2019). Artificial Intelligence for Clinical Trial Design.. https://doi.org/10.1016/j.tips.2019.05.005

Akses Cepat

Lihat di Sumber doi.org/10.1016/j.tips.2019.05.005

Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Total Sitasi: 464×
Sumber Database: Semantic Scholar
DOI: 10.1016/j.tips.2019.05.005
Akses: Open Access ✓