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Webinar
There is an increasing number of reports discussing the urgent need for addressing bias in decision-making algorithms in healthcare. In this webinar industry experts will share lessons learned and discuss possible solutions.
Best Practices Guides
Recently, artificial intelligence (AI) and machine learning (ML) technologies in the biotechnology and pharmaceutical industries moved beyond experiments conducted by a few dedicated specialists and entered the industry mainstream. With this transition comes the need to formalize and publish the lessons learned by early adopters.
This presentation will provide practical recommendations on how to put the tsunami of RWE and data variety to work using the IMPACT framework.
Imaging biomarkers are an ideal method for drawing evidence from retrospective data and can be used both as inclusion criteria, to select relevant cohorts of patients, and as output data, to quantify responses to treatments
Our speakers, Drs. Aleksandar Poleksic and Lei Xie, describe two new computational techniques for prediction of the differential gene expression profiles perturbed by de novo chemicals and inference of drug-disease associations.
Toolkit
Supports the implementation of the Findable, Accessible, Interoperable and Re-usable (FAIR) guiding principles
