AI nown most widely for its dominance in medicine technology, healthcare and pharmaceuticals, Johnson & Johnson is also pioneering advancements in data science. Natural language processing( NLP) is one of these areas as the healthcare behemoth works to tackle the issue of unstructured data. With most of the world’ s healthcare data unstructured – including clinical notes and reports that hold vital information – NLP enables J & J’ s scientists to extract and analyse this data efficiently, fuelling innovation and accelerating drug discovery.
By harnessing NLP, J & J improves its – and the wider healthcare world’ s – understanding of disease progression, optimsing clinical trials and enhancing patient communication.
Transforming vast, complex data Around 80 % of all data generated is unstructured, according to Forbes. From video and audio files to surveys and data from wearable devices, this data exists outside neatly-organised databases. To tackle this – especially in an industry marred by unstructured data like patient notes, medical images like x-rays and pathology reports – Johnson & Johnson’ s intense focus on NLP allows scientific teams to extract and transform traditionally inaccessible information into actionable insights. This capability is critical because it fuels the company’ s innovation pipeline by enabling researchers to identify high-value problems to address within medicine and healthcare.
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