Clinical trial management bioinformatics tools | Drug design analysis

Clinical trial management software tools | Drug discovery data analysis

Managing clinical trials, of whatever size and complexity, requires efficient trial management. Trials fail because tried and tested systems handed down through apprenticeships have not been documented, evaluated or published to guide new trialists starting out in this important field. For the past three decades, trialists have invented and reinvented the trial management wheel.

Source text:
(Farrell et al., 2010) Managing clinical trials. Trials.

BasketTrials

Allows users to handle basket trials based on Bayesian principles. BasketTrials offers a statistical model for planning, monitoring and analyzing early phase basket discovery trials implicating one drug hypothesized to target tumors with specific genomic or molecular characteristics. It exists both as a web application and a standalone software.

randPack

Supports tasks of implementing and analyzing clinical trials. Various approaches to randomization are offered. randPack is a suite of classes and functions for randomizing patients in clinical trials. It offers a class that defines the parameters for a clinical trial, a container for clinical trial randomization infrastructure and patient data, a function to calls to create new instances of the ClinicalTrials class and many others.