The recent Pistoia Alliance Symposium in London focused on the role of Bioinformatics in supporting Precision Medicine. There were some very interesting use cases ranging from principle concepts of bioinformatics to clinical applications to the importance of HPC and cloud for scaling up bioinformatics applications within the clinical setting.
Wearing thick gloves and a mask over your face, you attempt to sample the illicit drug using a classic syringe and then test it in your portable GC/MS. It’s a performance art dance of gracelessness and risk.
Time away from the lab is limited and valuable. You need to return from SLAS in San Diego with new tools to raise your scientific research… your “Out of the Office ROI.”
At a recent Bioinformatics Strategy Meeting in Boston, I chaired an interesting roundtable discussion on the potential convergence of translational research and clinical development.
Drug discovery is always evolving. From new processes to advanced technologies, excellence in drug discovery is the result of combining different approaches. And each approach brings a specific answer.
Lubricant and fuel testing are crucial at motor races such as the International North West 200 motorcycle road race and the Italian Superbike Championship (CIV). When speed, safety, standards, and stardom are at stake, efficient and accurate testing is necessary.
We sat down with expert Chris Strom, former service procurement manager at Bristol-Myers Squibb, to gain some insights into understanding successful vendor relationships and how to decide which procurement model fits your lab.
It’s not always easy to figure out whether your software is 21 CFR Part 11 compliant or compatible. Regulations for 21 CFR Part 11 state that electronic records, electronic signatures, and handwritten signatures converted into digital copies are all trustworthy, reliable, and equal to handwritten signatures on paper.
A recent review very succinctly put it that for precision medicine to achieve its aim of “the right drug for the right patient at the right time, may be possible only if the right data come to the right clinic at the right time”.
A lab disaster can come in the form of a fire, tornado, loss of electricity, cyber attack, compromised assay components, or more. With profitability and results on the line, many pharma labs are taking steps to develop disaster prevention strategies as well as carefully thought-out response plans.