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Pharmaceutical companies are under increasing pressure to get novel drugs to market as quickly as possible. Here, Sheraz Gul discusses how integrating processes could help streamline drug discovery in the future.
As technology advances and scientific research progresses at a rapid pace, data is being generated in ever-larger quantities. Even with the forward strides in technology and advances in data processing, a common problem widely acknowledged by the scientific community is that of reproducibility. In this article, Matjaz Hren discusses the…
GeneArt High-Q Strings DNA Fragments versus other suppliers’ products.
The UK Biobank, the world’s largest genetics project, will sequence 500,000 genetic samples, which will be available to researchers everywhere.
Using both computational models and stem cell-based experiments, researchers have identified a gene regulator of schizophrenia.
This issue includes an investigation into utilising recombinant antibodies for research, a highlight on protein design using computational methods and an examination of the advances in genomic medicine. Also in the issue are articles on next generation sequencing and upstream bioprocessing.
The UK Brain Banks Network has been enhanced to include genomic data, which can be accessed by researchers worldwide.
An algorithm has been developed which can predict the outcomes of complex chemical reactions with over 90 percent accuracy which can be applied to drug development.
A team from MIT sequenced bacteria samples from the digestive system which can be accessed by researchers to use in the development of treatments.
Scientists combine organ-on-a-chip and stem-cell technologies to make a powerful tool for diabetes research.
Researchers have developed a new AI system which was able to discover and then successfully test several new compounds within 46 days.
New lab on a chip technology has been developed to evaluate the effects of different drivers of NAFLD on liver cells.
AI has applications in many areas of research, including genomics. Slavé Petrovski of AstraZeneca reveals how AI is used in the study of the human genome and how it may evolve in the future.
New computer model that simulates the way red blood cells become misshapen by sickle cell disease could identity promising drug candidates.
Claus Bendtsen at AstraZeneca reveals how AI can be used to improve our understanding of disease, to help identify the causes of conditions and aid in drug discovery.
