Integrating drug discovery R&D
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.
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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.
A clinical study comparing liquid and tissue biopsies finds multiple resistance mechanisms in individual patients.
The UK Brain Banks Network has been enhanced to include genomic data, which can be accessed by researchers worldwide.
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.
Using new technology researchers have shown that sick mitochondria pollute the cells they are supposed to be supplying with power.
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.
Researchers hope the system can choose the right patients to enroll in clinical trials, to speed discovery of drug treatments.
CD4+ T-cells play a central role in directing adaptive immune responses against invading microbial pathogens.