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Insilico Twin is constantly evolving as more patient data is added to the system.
Our platform uses advanced analytics such as machine learning algorithms to identify patterns in patient data and provide insights into cancer diagnosis and treatments.
We also utilize sensors which measure vital signs of patients in order to better assess their health status over time.
This provides us with an unprecedented level of accuracy which leads to more reliable treatments with fewer risks or side effects.
Additionally, by leveraging advances in big data analytics, it can uncover trends across large datasets that were previously impossible. This allows pharmaceuticals & clinical research organisation to make faster decisions while remaining confident in their drug discovery processes.
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