output
20102022
most citedApplications of artificial intelligence in drug development using real-world data

101 citations

10 papers

stat.AP2022★ 7 cited

Designing an exploratory phase 2b platform trial in NASH with correlated, co-primary binary endpoints

Elias Laurin Meyer, Peter Mesenbrink, Nicholas A. Di Prospero +5

Non-alcoholic steatohepatitis (NASH) is the progressive form of nonalcoholic fatty liver disease (NAFLD) and a disease with high unmet medical need. Platform trials provide great b…

stat.ME2021★ 1 cited

Eliciting judgements about dependent quantities of interest: The SHELF extension and copula methods illustrated using an asthma case study

Björn Holzhauer, Lisa V. Hampson, John Paul Gosling +8

Pharmaceutical companies regularly need to make decisions about drug development programs based on the limited knowledge from early stage clinical trials. In this situation, elicit…

cs.CY2021★ 101 cited

Applications of artificial intelligence in drug development using real-world data

Zhaoyi Chen, Xiong Liu, William Hogan +2

The US Food and Drug Administration (FDA) has been actively promoting the use of real-world data (RWD) in drug development. RWD can generate important real-world evidence reflectin…

cs.CL2020

Attention-Based LSTM Network for COVID-19 Clinical Trial Parsing

Xiong Liu, Luca A. Finelli, Greg L. Hersch +1

COVID-19 clinical trial design is a critical task in developing therapeutics for the prevention and treatment of COVID-19. In this study, we apply a deep learning approach to extra…

physics.chem-ph2017★ 100 cited

Automated transition state theory calculations for high-throughput kinetics

Pierre L. Bhoorasingh, Belinda L. Slakman, Fariba Seyedzadeh Khanshan +2

A scarcity of known chemical kinetic parameters leads to the use of many reaction rate estimates, which are not always sufficiently accurate, in the construction of detailed kineti…

stat.ME2016★ 15 cited

Optimal exact tests for multiple binary endpoints

Robin Ristl, Dong Xi, Ekkehard Glimm +1

In confirmatory clinical trials with small sample sizes, hypothesis tests based on asymptotic distributions are often not valid and exact non-parametric procedures are applied inst…