PETALING JAYA, Sept. 12 -- At first glance, it's just another outpatient visit. A patient in her late sixties walks in with persistent knee pain; something she's grown used to over the years. A few scans, a prescription for physiotherapy, and perhaps a plan for surgery somewhere down the line.

But what if the system could do more? What if, from a simple set of patient data and tissue samples, we could predict the disease trajectory, and tailor a personalised treatment to match?

That's the vision behind a new project led by Professor Dr Azlina Amir Abbas from the Faculty of Medicine, Universiti Malaya. And at the heart of it is an intelligent engine powered not by guesswork, but by data.

The slow crisis of knee osteoarthritis

Knee oste...