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UK drug discovery market ‘thriving’ says new report
A new report reveals a thriving service and supply sector for the UK in addition to its research and development biotechs.
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Artificial Intelligence
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AI-driven automated chemistry as a tool to accelerate drug discovery
Typically, early drug discovery campaigns start with the screening of chemical libraries to identify candidate chemotypes modulating a particular target and/or phenotype. Success of the primary screening depends on multiple factors related to both biology and chemistry. These include the target’s druggability, sensitivity and specificity of assay system, composition and…
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Scientists make improvements to AI pipeline used to diagnose genetic diseases
Building on previous research, scientists have made improvements to an artificial intelligence pipeline used to diagnose genetic diseases via blood samples obtained from gravely ill infants.
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Drug discovery from the age of information to the age of intelligence
Data drives drug discovery, yet it continues to be among the biggest challenges faced by the industry.1 Experiments are often not repeatable and data interpretation is subject to the biases and limitations of human beings.
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Lab Automation In-Depth Focus 2019
In this In-Depth Focus: realising the promise of laboratory automation in biomedical research, drug discovery from the age of information to the age of intelligence, and transforming drug discovery, development and delivery with flow chemistry.
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Informatics In-Depth Focus 2019
In this In-Depth Focus: AI-driven automated chemistry as a tool to accelerate drug discovery, and a look at network-driven drug discovery
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Drug Target Review – Issue 1 2019
In this issue: AI-driven automated chemistry as a tool to accelerate drug discovery processes, the shifting landscape of immuno-oncology, and how lipid molecules provide an insight into biological research.
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Virtual drug discovery tackles unknown universe of drugs
An online compound library consisting of the structure of over a billion molecules could be the future of drug discovery...
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Using AI for error correction in single cell analyses
Researchers have developed algorithms that make it possible to predict and correct cells to identify genes...
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AI used to diagnose diabetic eye disease
Artificial Intelligence has been used to cost-effectively diagnose diabetic-related eye disease automatically with far more accuracy than current methods...
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Expert view: Challenges in drug discovery screening
The basic premise of drug discovery screening necessitates that the biological assays upon which it depends can be performed in a reproducible manner. In addition, the techniques employed must generate results that are biologically relevant and actionable.
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Under the microscope: CROs and microplate reader requirements
Contract Research Organisations rely on microplate readers for effective hit discovery. Ian Waddell, of Charles River Laboratories, explains what his needs are.
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P2K system could resolve bottlenecks in drug research
Researchers have developed a new system that could significantly speed up the discovery of new drugs and reduce the need for costly and time-consuming laboratory tests...
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AI algorithm accurately predicts Alzheimer’s disease onset
Scientists have developed an algorithm that can more accurately predict cognitive decline that leads to Alzheimer’s disease. Early preventive measures may help delay and even halt the disease’s onset.
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A universal flu vaccine may be in sight
Researchers from Oxford have identified the initial steps on the path towards creating a universal influenza vaccine that could last for life...