Newsletter | June 7, 2021

06.07.21 -- Accelerating Drug Development With Data Science, AI, And Informatics

Industry Best Practices For Novel Biotherapeutic Entities

As this next wave of antibody-based therapies gains momentum, biochemists have begun to create even more innovative molecules with additional modes of action including multispecific antibodies and other so-called Frankenmolecules. However, informatics technologies have not kept pace with these scientific innovations. But together, we can establish systems and processes that make working with these new entities more efficient.

The Importance Of An Integrated Informatics Solution For Life Science Organizations

Over the last few decades, replacement of outdated paper-based data management systems has been identified as a means to accelerate the knowledge management process. To satisfy the requirement of drug development companies for efficient data and technology transfer, standardization of data and technology transfer across the entire pharmaceutical product life cycle is needed.

Harnessing Data Science And AI For Drug Development Innovation

When it comes to drug discovery and development, employing data science and artificial intelligence (AI) has become an existential challenge for the pharmaceutical industry. So, how can these technologies help pharmaceutical companies reduce the staggering expense and amount of time it takes to develop new therapeutics, and get there sooner, with less compounds needing to be tested and proved?

Accelerating Drug Discovery With Artificial Intelligence

It typically takes about five years and requires the synthesis of 4,000 or more compounds to develop a new lead candidate. View this webinar to learn how to leverage AI and machine learning techniques to significantly reduce cost and timelines for discovering new lead candidates while at the same time increasing their success rate in the clinic.

Integrated Lab Operations For Efficiency And Compliance

A research-based biopharmaceutical company had recently transitioned from paper-based experimental documentation toward increasingly electronic-based systems. Through the integration of their lab informatics systems the customer has observed improvements in both compliance and workflow efficiency.