Artificial intelligence (AI) is rapidly changing how scientists discover new treatments for diseases that have long been considered difficult, or even impossible, to cure. A recent BBC feature highlights how researchers around the world are using AI to search through millions of potential drug candidates in a fraction of the time required by traditional methods.
Among these innovations, work led by Dr. Jun Ding stands out for its potential to transform how we understand and treat complex lung diseases. His team is using advanced AI models to study idiopathic pulmonary fibrosis (IPF), a serious condition where lung tissue becomes scarred and progressively loses function.
Instead of focusing only on individual genes or drugs, Dr. Ding’s approach looks at how cells change over time during disease progression. By analyzing lung cells from both healthy individuals and patients at different stages of IPF, his team built a generative AI model that can simulate how cells transition from healthy to diseased states.
This approach offers a powerful new way to identify early biological changes that signal disease onset, discover new biomarkers for diagnosis, pinpoint targets for treatment, and test whether existing drugs could be repurposed to slow or reverse disease.
As Dr. Ding explains, many complex diseases are driven by abnormal changes in cell states. If scientists can understand and potentially reverse these changes, they may be able to stop disease progression rather than just treat symptoms. Looking ahead, researchers believe that AI could guide the majority of new drug development within the next decade, marking a major shift toward more precise, efficient, and personalized medicine.
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These diseases were thought to be incurable. Now AI is unlocking new treatments. BBC. by Laurie Clarke. March 10, 2026