Predictive factors of clinical trial participant discontinuation
March 8, 2022, 3:00 ET

Using our proprietary historical trial data, Lokavant conducted an analysis to investigate key predictive factors that increased or decreased risk of participant discontinuation in COVID-19 impacted clinical trials.

New Lokavant advanced analytics improve enrollment projections
Mar 25, 2021, 09:00 ET

Using machine learning models and a combination of historical and within-trial data, Lokavant was able to predict key enrollment outcomes earlier in a study’s trajectory and with 95% accuracy

Your guide to decentralized trials and their impact on enrollment
Feb 11th, 2020, 10:00 ET

The pandemic has driven rapid adoption of decentralized clinical trials, but measuring the effectiveness and risk of these efforts on enrollment has been difficult to date.​​

Lokavant partnered with THREAD to conduct the first ever impact analysis of DCTs on key performance indicators during the pandemic. Using proprietary data from over 300 ongoing COVID-impacted trials and data from THREAD, Lokavant’s analytical platform showcased the ability of decentralized approaches to mitigate COVID-related risks.