Beyond the phenotype: using AI to better understand disease
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.
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In the fields of medicine, biotechnology and pharmacology, drug discovery is the process by which new candidate medications are discovered.
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 have created a fruit fly model to investigate uric acid-related diseases such as diabetes to aid in drug development.
Designing new drug molecules is crucial to R&D. Dr Sam Genway suggests that one way to improve and speed up this process is using AI inspired by language translation.
A new study has found that damage caused by Alzheimer's allows toxins to enter the brain, further harming neurons.
A new drug called IP1867B, which could be used for future treatments of brain tumours, is being examined.
Researchers have discovered a new combination therapy to treat drug-resistant acute lymphoblastic leukaemia, tested in pre-clinical trials.
A review has been published by experts in neurodegeneration research, detailing six ways to improve dementia research. This article investigates one of these suggestions, focusing on how we can improve drug target identification.
An antibody has been developed to block a protein secreted by the cells surrounding ovarian and pancreatic cancer tumours.
Researchers haved mapped the crystal structure of a protein to find out how a drug latches onto it.
Charlotte Walker-Osborn, a Partner and Head of Technology Sector (International) at global law-firm Eversheds Sutherland and a legal expert in technology law, explains some of the challenges and potential future of artificial intelligence (AI) in the field of drug discovery.
Researchers have developed a stabilisation technique for widespread viruses, creating drug opportunity.
Researchers have found 12 genes which cause MS, creating potential for preventative treatment of the condition.
A new AI project marks the first time 10 pharmaceutical companies have agreed to share data to aid drug discovery.
This in-depth focus discusses screening and the uses of phenotypic profiling in drug discovery. Also examined is the role that CRISPR/Cas9 gene editing and native mass spectrometry play.