Manufacturing technology “Radical growth”
Few experts are better placed to reflect on the risks and opportunities of I4.0 than Dr Vladimir Popov. The main or contributing author of over 40 academic papers, he is currently engineer of the Biomaterials and Corrosion Lab at Tel Aviv University, as well as manager at the institution’s 3D-printing TAU+ R&D Centre. This dedication doesn’t take long to understand. For as Popov says, I4.0 “is all about the personalisation of healthcare, the development of medicine on demand and increasing the effectiveness of diagnosis and consulting services”. As Popov adds, meanwhile, the technologies that make up I4.0, including machine learning and deep learning, not only make manufacturing faster and more efficient – they also help sharpen treatments for patients. Rather than relying on mass-produced devices, or workshopping solutions on an ad hoc basis, AI can instead compute the experiences of thousands before offering specialised manufacturing solutions. All this goes a long way towards explaining the dramatic growth of I4.0 over the last few years. Though detailed statistics are scarce, a January report by Israel Advanced Technology Industries found that 60% of leading venture capital groups plan to boost investment in health technology over the next year. Nor is this timescale accidental. As Popov explains, he saw a “radical growth of interest in I4.0 for medicine” during the Covid crisis, suggesting that the drama of the pandemic – from lockdowns to social distancing – forced the profession to adapt. At the same time, Popov emphasises that there’s been similar interest in the manufacturing space – not least when it comes to 3D printing, his own area of focus.
In fact, 3D printing is as good a place as any to start appreciating all I4.0 can offer the medical manufacturing space. Giving factories the ability to design specialised structures cheaply, 3D printing has the potential to transform everything from orthopaedic implants, through to dental restorations like crowns, as well as prosthetic arms or legs. That’s echoed by other areas of research too. It’s particularly clear in terms of data
analysis, where manufacturers can use AI and machine learning to track device parts or understand where things are going wrong. Relying so much on computers, moreover, offers a number of happy side effects – notably around sustainability. Remove paper from the supply chain, after all, and you help the planet even as efficiency explodes.
“[I4.0] is all about the personalisation of healthcare, the development of medicine on demand and increasing the effectiveness of diagnosis and consulting services.”
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