Revolutionary technology for drug discovery and development
Jan 11, 2024
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This podcast episode covers three written articles on the future of a cytomegalovirus vaccine, the role of predictive diagnostics in precision medicine, and making data work harder in the race to market. Topics include the challenges in developing CMV vaccines, the importance of diagnostics in personalized therapy, and leveraging data for faster drug development.
mRNA technology shows potential in developing a vaccine for cytomegalovirus by priming the immune system to prevent infection.
Predictive diagnostics, including biomarkers and genetic testing, are crucial in ensuring the right patients receive the appropriate treatments.
Deep dives
mRNA technology may hold the future for a cytomegalovirus vaccine
The first article explores the development of a vaccine for cytomegalovirus (CMV) using mRNA technology. CMV is a widespread virus that can cause birth defects and severe neurological consequences. Previous attempts at developing vaccines for CMV have been unsuccessful. Moderna is currently conducting Phase III trials for an mRNA-based CMV vaccine, mRNA-1647, which targets key antigens in the virus. The vaccine shows potential in priming the immune system to prevent CMV infection and is being studied for its safety and efficacy.
Predictive Diagnostics: Closing the Precision Medicine Gap
The second article focuses on predictive diagnostics as a means to ensure the right patients are matched with the right treatments at the right time. With the growth of precision medicine and the development of targeted therapies, patient selection for clinical trials has become crucial for success. Biomarkers and genetic testing play a vital role in identifying patients who will benefit from specific treatments. The article highlights the importance of comprehensive and multi-dimensional biomarkers, such as tumor mutational burden, in accurately predicting patient response to therapies, particularly in immunotherapy.
Fair Game: Making Data Work Harder in the Race to Market
The third article discusses the importance of data management and analytics in speeding up the drug discovery process. Leveraging cloud-based technologies and creating a connected informatics ecosystem can improve access, analysis, and sharing of data. The article introduces the FAIR principles, which promote findability, accessibility, inter-operability, and reusability of digital assets. Implementing cloud-based electronic lab notebooks (ELNs) and automated data management and analytics can enhance productivity and decision-making in drug research, allowing for better collaboration and more effective use of data.
The Future of Data-Driven Decision Making in Drug Discovery
The future of drug discovery relies on harnessing the full potential of data through improved processes and technology. Lab automation, including pre-built assays and software automation, can increase productivity and streamline workflows. Defining endpoints and reducing data through data reduction can improve decision-making efficiency. Additionally, adopting fair principles, implementing cloud-based ELNs, and fostering collaboration and knowledge sharing can create a more effective informatics ecosystem, empowering scientists to make better and faster decisions in drug discovery.
This is the latest episode of the free DDW narrated podcast, titled “Revolutionary technology for drug discovery and development” which covers three written for Volume 23 – Issue 4, Fall 2022 of DDW.
In the first article, Allison August, M.D., Vice President, Clinical Development, Infectious Diseases at Moderna examines the data on cytomegalovirus (CMV), why attempts at vaccines for CMV have so far proved elusive and the emerging options to address this unmet need.
In the second article, Jarret Glasscock, PhD, CEO of Cofactor Genomics explains how diagnostics are emerging as the key to ensuring the right patients get matched to the right therapy, at the right time.
In the third article, Dr Christof Gänzler, Product Marketing Biology at PerkinElmer Informatics, shares insight on making data work harder in the race to market.