TECH & AI
Paul Agapow Leader in Biomedical Data Science and Machine Learning , GSK
The field of AI has revolutionised the way we do things – from the development of self-driving cars to breakthroughs in natural language processing ( NLP ) and computer vision , AI grows evermore pervasive .
As the AI ‘ gold rush ’ rages on , in what seems to be an unrelenting fashion , it comes as no surprise that , increasingly , pharma companies are utilising AI for drug discovery and its development capabilities .
We explore some of the advantages , as well the drawbacks .
Photo : © GSK
Mining through the data Vast data sets are synonymous with the healthcare industry . Biotech companies are faced with the momentous task of mining through troves of patient data , including health records , chemical compounds , genetic information and medical imaging , in search of the next gem that just might be a new , breakthrough drug .
AI algorithms can be used to quickly and accurately analyse this data , identify patterns and trends , and also make predictions . This can help to speed up the process of finding new drugs , reducing the costs associated with traditional drug discovery methods .
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