A new study will use artificial intelligence (AI) and NHS data to predict side effects from drug combinations before they reach patients. Which supports regulators to test new, faster ways of bringing safe innovation – will use AI to help spot these interactions. The system will look for patterns in anonymised NHS data showing how different medicines behave when used together, focusing on cardiovascular medicines. These signals will then be tested in the lab using human-based models that mimic how drugs are processed in the body.
The tool could also transform how new medicines are discovered and tested. Using AI and real-world health data that reflect the diversity of patients and how they take medicines, scientists can spot risks and successes earlier, giving regulators stronger evidence for faster, well-informed decisions. This can cut delays and costs for developers, bring new treatments to patients sooner.
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