Posts tagged AI
Our team behind the scenes at SXSW | Target Identification, Literature Knowledge Inference

Watch our team investigate the target identification process for GBM using machine learning methods. Their aim was to identify genes or proteins involved in the development of glioblastoma stem cells - a type of cell at the origin of GBM that are resistant to the current treatments.

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Our team behind the scenes at SXSW | Patient Stratification in Target ID, OMICS data

BenevolentAI develops AI models to help scientists better define underlying mechanisms of disease in very specific patients groups. Looking at patient clinical and biomedical data we try to dig into the molecular level detail to redefine the disease and better endotyping for two main purposes

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AI: The Next Revolution In Medicine?

Watch our CEO, Joanna Shields, as she takes the stage and returns to DLD 2019 - an event which is a source of great inspiration and hope. We believe that unconventional thinking combined with purposeful technology can truly change outcomes in the world. And that is what Joanna touches upon during her talk to the audience at DLD

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Why we need to use AI for life, not just lifestyle

Our CEO Joanna Shields is presenting at the Times Tech Summit on why we need to use AI for life, not just lifestyle. We hear so much about how technology is transforming life as we know it -- from autonomous vehicles to the likely prospect of space travel to Mars -- so why then does the treatment of disease still represent one of the greatest unmet human needs?

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A Bright New World: The Impact of Artificial Intelligence

The potential of AI is difficult to ignore. From wearable devices carrying patient data allowing us to be guardians of our own medical history, to predictive analytics which will personalise our future medicinal therapies - AI is a powerhouse with the capacity to transform healthcare, and improve the lives of millions of people.

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How AI is revolutionising drug discovery

"If you come into my world, in biomedicine, everyday thousands of papers are uploaded in portal like PubMed, new genome sequences, new biomarkers, new clinical trial data, we are drowning in data [...] Artificial intelligence could be the solution for a broken drug discovery model."

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