A new era of personalised medicine, disease prevention, and healthcare innovation is being ushered in. Thanks to AI's capacity to analyse massive information, find hidden patterns, and speed up scientific discovery.
To discuss the role of data and technology to fastrack and innovate drug discovery, industry experts shared success stories, global best practices, the importance of collaborations, and future opportunities for the pharma industry during the panel ‘Data, analytics and technology to transform drug R&D: Redefining innovation’ at BioAsia 2023.
Organizations across the world are relying on AI to better serve customers and unlock new business value. In a segment like healthcare, AI's ability to process large amounts of unstructured data makes it the preferred technology to handle the growing volume of data in a vast country like ours.
The research team from the Queen Mary University of London have identified a peptide, or protein fragment, taken from the foot-and-mouth-disease virus that targets another protein, called AvB6 (alpha-v-beta-6).
Big pharma and biotech companies have invested billions in new ways to cure cancer. But for tough metastatic cancers (those that have spread throughout the body), they have mostly not succeeded.
Advanced Retinal Therapy 'ART 2017' Congress in Vienna with special reference to personalised medicine
Since the nature of personalized medicine is highly complex, in order to realize this potential, the healthcare sector must look beyond its borders and rely on cross-sector collaboration.
The essence of personalized medicine is that it makes sure that the therapy that is being used on a person is not wasted and gives the maximum efficacy.
PM is still quite new and very much in its stages of infancy, globally. Upper middle class and the wealthy can “jump-start” PM based on out-of-pocket payment driven use. As the market grows in size over time, it could then become more affordable for the masses.
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