Recommended

Register now: Enhancing biopharma workflows with the power of UV/Vis spectroscopy webinar
Join us as we look at how the outsourcing of buffers is helping biopharma drug manufacturers to streamline their processes.
Learn more about leveraging real-world data, the practical applications of AI and adopting configurable LC/NC solutions.
Download this compendium to discover how hot-melt extrusion can help to overcome pharmaceutical formulation challenges
This Guide to Testing explores the limits of detection requirements for microbial testing of short-shelf-life products and sustainable endotoxin testing.
Join this webinar to hear about the latest RMM technology and how it aligns with UPS testing criteria.

List view / Grid view

University of Manchester

 

Figure 1 Evolutionary systems biology for personalized medications. Over time, iterative cycles of experimentation and modelling facilitate a move from current understanding and therapeutic options, towards a more complete understanding of disease, with the possibility for personalised therapies. Inputs are needed in the form of system-wide data sets, which are highly anticipated to become increasingly detailed and accurate as analytical technologies improve. Interim benefits are also gained with each advancing cycle, in the form of continually evolving models that improve disease management and guide therapy (Figure produced with Jennifer Logan, University of Liverpool)
Figure 1 Evolutionary systems biology for personalized medications. Over time, iterative cycles of experimentation and modelling facilitate a move from current understanding and therapeutic options, towards a more complete understanding of disease, with the possibility for personalised therapies. Inputs are needed in the form of system-wide data sets, which are highly anticipated to become increasingly detailed and accurate as analytical technologies improve. Interim benefits are also gained with each advancing cycle, in the form of continually evolving models that improve disease management and guide therapy (Figure produced with Jennifer Logan, University of Liverpool)
article

High-throughput PCR based diagnostics: Linking sample handling to molecular oncology risk groups

24 June 2010 | By Ehsan G. Karimiani, Stephan Mohr & Philip J. R. Day, University of Manchester

Cancer molecular pathology broadly relies on the comparison between diseased and normal tissues, with statistically validated differences revealing cancerassociated pathways. This approach, although comparatively one-dimensional, has been remarkably successful, enabling identification of many types of malignant biomarkers and providing the means to develop pharmaceutical agents directed against pertinent biological targets.…

article

Quantitative Proteomics for Systems Biology

29 May 2009 | By

The pharmaceutical industry continues to experience a high attrition rate during the latter stages of small molecule therapeutic development, most disappointingly during the late, and highly expensive stages of Phase II and Phase III trial1. If left unchecked, it is likely that this late-stage failure in drug development will only…

article

Raman spectroscopic techniques for biotechnology and bioprocessing

7 February 2009 | By

Biotechnological expertise is becoming increasingly important within the pharmaceutical industry, and will play a pivotal role in the monitoring of fermentations, particularly their optimisation within the framework of Process Analytical Technologies (PAT). The ability to harness biological processes for the development of drug therapies, so called ‘biopharmaceuticals’ provides treatments that…

article

Applications in bioprocesses and biotechnology

11 November 2005 | By ,

Raman spectroscopy is a highly versatile tool that provides chemical fingerprints from biological material that can be interpreted using chemometrics and machine learning. In combination this powerful approach is being developed for the quantitative determination of multiple determinands in bioprocesses and for the characterisation of microorganisms.