Translational research applies the findings and tools of science to define and solve problems.

Big data might bring more benefits to drug discovery than to any other field. For one thing, discovering a new drug turns out to be incredibly difficult. On average, a pharmaceutical company tries about 10,000 drug candidates for every one that ends up on the market. Plus, the process of discovering and developing a new drug costs hundreds of millions of dollars and takes more than a decade—some say more for both measurements.

Dr. Nathaniel Hentz is assistant director of the analytical lab at the Golden LEAF Biomanufacturing Training and Education Center (BTEC), where he develops bioanalytical assays in support of the various biomanufacturing processes taught at BTEC. Since 2008, Dr. Hentz has been responsible for developing and teaching undergraduate and graduate courses, industry short courses, and government (FDA and BARDA) training courses, with a focus on assay development and validation, quality control, and liquid-handling performance.

The goal of achieving a truly paperless lab has been discussed for the past 20 years, but it is now, with technology catching up to the discussion, finally materializing. Nowhere is this more evident than in pharmaceutical Quality Assurance/Quality Control (QA/QC) laboratories.

Water testing laboratories hold a unique position among analytical facilities in their interaction with broadly diverse government and private entities

At IDBS, our sights are firmly set on enabling collaboration, helping research and development (R&D) organizations gain greater insight from their data and getting their products to market quicker. So we asked ourselves how we could make this simpler. With E-WorkBook 10, not only will you have the power and performance you’ve come to expect from E-WorkBook, you’ll also discover the simplicity and ease of use that comes from an intuitively designed interface, and the flexibility and mobility that comes from our web-based spreadsheet technology.

The film Chappie, which hit theaters Mar. 6, is about the first robot with the ability to think and feel for himself. The filmmakers claim that this story "will change the way the world looks at robots and humans forever."

Big data is the current hot buzzword in data analysis. Laboratory managers helming such a project don’t necessarily require the expertise to directly implement a big data project, but it is advisable that they have a general understanding of the process to be able to set realistic goals and timetables.

Proactive use of IDBS’ E-WorkBook delivers continuous improvement across research, development and business operations.

Microplate readers are commonly used in biological research for assay development (39.4%), measurement of biomolecule concentration (34.5%), cell biology (25%), biomarker research (24.0%), and DNA quantification (20% of survey respondents). In addition, microplate readers find use in disease study, IVF, proteomics, PCR setup, and stem cell research. With multiple read modes available and numerous accessories, choosing a microplate reader that meets your current and future needs can prove a daunting task.

There are no shortages of world records when it comes to Pearl GTL. The facility,  located 80 kilometers north of Doha, Qatar, includes the largest GTL plant and one of the largest instrumentation and control systems anywhere on earth. The facility became fully operational in 2012.

At IDBS, our sights are firmly set on enabling collaboration, helping research and development (R&D) organizations gain greater insight from their data and getting their products to market quicker. So we asked ourselves how we could make this simpler. With E-WorkBook 10, not only will you have the power and performance you’ve come to expect from E-WorkBook, you’ll also discover the simplicity and ease of use that comes from an intuitively designed interface, and the flexibility and mobility that comes from our web-based spreadsheet technology.