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Is acidity the weakness of cancer cells?
Cancer cells proliferating in alkalinity should be more vulnerable in acidic environments, so decreasing the pH may result in decreased proliferation...
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Artificial Intelligence
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AI system designs drugs from scratch
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...
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Adapting drug discovery to Artificial Intelligence
Drug discovery has always been challenging; today, more so than ever. While there has been success in addressing many diseases, others remain intractable...
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pGENMi predicts genomic features associated with drug responses
A new system, pGENMi, could predict genomic features associated with drug responses, by identifying differences in gene expression...
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Discovery of statistical method identifies cancer predisposition
New statistical method, ALFRED, could identify predisposition for cancers by using cancer genome data sets to identify risk variants.
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Expert view: Improving R&D productivity with novel screening approaches
The pursuit of improved R&D productivity rates coupled with decreased cycle times has dominated pharmaceutical discourse in recent years.
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Drug Target Review – Issue #2 2018
In this issue: the positive impact of genomics on drug discovery, development and deployment, the confluence of biology and technology, and Artificial Intelligence: harnessing the potential to drive progress in drug discovery promises much for phenotypic drug discovery
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Expert view: Laboratory informatics software – the top challenges
A look back, and forward, at the key trends within laboratory informatics.
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Explore next generation therapeutics and ATMPS in May
The 13th annual World Advanced Therapies & Regenerative Medicine Congress brings together 1000+ attendees and explores the rapidly developing world of next generation therapeutics and ATMPS.
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New to 2018: The role of artificial intelligence in drug discovery
SMi Reports: SMi’s 2nd annual Drug Discovery conference, taking place in London on 21 and 22 March 2018, will discuss the role of artificial intelligence in drug discovery.
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Researchers use AI technology to chart immune cell receptor
Johns Hopkins scientists have used a form of artificial intelligence to create a map that compares types of cellular receptors, the chemical ‘antennas’ on the surface of immune system T-cells.
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Artificial intelligence in drug discovery: how long before we see the real impact?
A new race is well underway involving big pharma and big data companies to see who can most effectively mine the new massive data using artificial intelligence (AI). The aim: reducing costs by using targeted in silico analysis, reducing in vitro and in vivo screening, and reviewing huge quantities of…
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Blood test developed to diagnose ovarian cancer
Non-invasive diagnostic tool measures circulating microRNAs to predict ovarian cancer with specificity...
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Artificial intelligence predicts dementia before onset of symptoms
Scientists have used artificial intelligence techniques and big data to develop an algorithm capable of recognising the signatures of dementia two years before its onset, using a single amyloid PET scan...
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Milking it: A new robot to extract scorpion venom
A new scorpion-milking robot designed to extract venom could replace the traditional manual method.
