Artificial intelligence (AI) relies on building a model and applying it to solve a specific problem. Read how AI is being used to accelerate research and development, process development, manufacturing, and clinical trials within genomics.
Every year cancer kills eight million people worldwide. By 2030, the number of annually diagnosed cases will exceed 21.7 million resulting in 13 million cancer deaths due to aging and population growth. Join the fight against cancer by embarking on a research mission to develop a personalized immunotherapy using augmented reality.
Since the first cytokine was identified over 60 years ago, a lot has been done to better understand these molecules. The use of multiplex immunoassays is one such way, though they aren’t considered quite as mainstream yet. Learn about how the SMARTS approach can be used to better align user experience to the performance characteristics of these multiplex assays and hopefully transition them to a more mainstream role in research.
In the first two articles in our Finding a Good Antibody series, you learned how to select the best antibodies and received tips on proper antibody validation. In this third and final article, see how you can use this information to publish meaningful data when using antibodies. And get some guidelines for antibody best practices.
Finding antibodies that work for your application is just the first step in finding a good antibody. Next is antibody validation — making sure that your antibody does what you think it is supposed to. In this second article in our Finding a Good Antibody series, learn how best to go about validating your antibodies.
Even though antibodies are central to basic research as well as drug development and diagnostics, concerns with antibody validation remain high, and finding an antibody that works well for a specific application can be quite a challenge. Use these tips to select the best antibodies for your application.