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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Artificial Intelligence has been used to cost-effectively diagnose diabetic-related eye disease automatically with far more accuracy than current methods...
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.
Contract Research Organisations rely on microplate readers for effective hit discovery. Ian Waddell, of Charles River Laboratories, explains what his needs are.
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...
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.
Researchers from Oxford have identified the initial steps on the path towards creating a universal influenza vaccine that could last for life...
ELRIG’s (European Laboratory Research & Innovation Group) Drug Discovery meeting, will take place at ExCeL, London, UK, located in the heart of the city, from 9 -10 October 2018...
Researchers have developed a new generation of pain relief drugs that only target the affected area, with the help of computer simulations...
Scientists have harnessed a powerful artificial intelligence (AI) platform, CURATE.AI, to successfully treat a patient with advanced cancer by completely halting disease progression, representing a big step forward in personalised medicine.
Computer engineers have 'taught' a computer to identify tiny specs of lung cancer in CT scan images, often missed by radiologists...
Cancer cells proliferating in alkalinity should be more vulnerable in acidic environments, so decreasing the pH may result in decreased proliferation...
An artificial-intelligence approach created can teach itself to design new drug molecules from scratch and has the potential to dramatically accelerate the design of new drug candidates...
Drug discovery has always been challenging; today, more so than ever. While there has been success in addressing many diseases, others remain intractable...
A new system, pGENMi, could predict genomic features associated with drug responses, by identifying differences in gene expression...
New statistical method, ALFRED, could identify predisposition for cancers by using cancer genome data sets to identify risk variants.