List view / Grid view

Johnson & Johnson

 

article

Applying PAT in pharmaceutical processes

1 November 2010 | By Mario Hellings, Tom Van den Kerkhof, Jeroen Geens and Steve Mehrman, Johnson & Johnson

As cited by the FDA, “Process Analytical Technology (PAT) is a system for designing, analysing, and controlling manufacturing through timely measurements (i.e., during processing) of critical quality and performance attributes of raw and in-process materials and processes with the goal of ensuring final product quality.”1 The main goal of PAT…

article

Biomarkers and the tumour microenvironment

7 February 2009 | By

The current cost of developing a new medicine for the treatment of human disease has been estimated at $1 to $2 billion (€750-1.5 million1,2). Given progressive increases in the cost of developing new drugs, pharmaceutical companies are facing significant pressure to streamline discovery methods and increase the translational efficiency of…

article

Utilisation of secondary screening

19 June 2008 | By

European Pharmaceutical Review has brought together four individuals from different sides of the scientific palette to discuss current and future issues surrounding secondary screening and maximising its potential.

article

PAT: not a purpose in itself

19 March 2008 | By

The process analytical technology guidelines have been a hotly debated topic within the pharmaceutical industry ever since they were made public in 2004. This also holds true at Johnson & Johnson Pharmaceutical Research & Development (J&JPRD), Division of Janssen Pharmaceutical N.V. In recent years, the company has introduced PAT tools…

article

The role of phospho-proteomics in drug discovery and development

25 January 2007 | By Ze’ev Gechtman, Ph.D., formerly of Johnson & Johnson

While scientific discoveries can be turned into financial assets, the scientific process itself has proven difficult to harness to efficiently create marketed products bringing profits. This translation is especially challenging for the pharmaceutical and biotechnology industries owing to the tremendous complexity of biological systems.