titanium
titanium

Titanium: biocompatibility, durability and cost-efficiency continue to improve

By Kim Crabtree

Titanium has become a vital material in modern medicine due to its strength, light weight, corrosion resistance, and exceptional biocompatibility with high long-term success rates and minimal risk of rejection. Its non-ferromagnetic nature makes it MRI-safe, and its durability supports better healing outcomes compared to materials like stainless steel. Though more expensive, titanium’s costs are becoming more manageable, and demand is expected to surge with the aging population. Innovations like beta-titanium alloys, surface treatments, and 3D-printed implants continue to expand its medical potential.

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Sustainable from Start to Finish

By Dr. Max Rehberger

The European Commission’s Green Deal sets specific sustainability targets across the EU, while policies like the German Supply Chain Act (LkSG) of 2023 are setting standards domestically. TÜV SÜD explains how hospital operators and medical device manufacturers can position themselves sustainably in the market.

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PFAS
PFAS

No Longer “Forever Chemicals”

By Dr. Christina Reufsteck

Because of the environmental and health risks that PFAS ─ per- and polyfluoroalkyl substances ─ pose, they are subject to a potential ban across the European Union. Such a ban would introduce a need for medical device manufacturers to identify and discontinue the sale of products containing PFAS, while also developing safe and effective alternatives. How will suppliers across the EU approach the impending shift away from these “forever chemicals”?

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nanotube technology
nanotube technology

Pusan National University Researchers Explore the Interplay Between High-Affinity DNA and Carbon Nanotubes

By MedTech Intelligence Staff

Single-walled carbon nanotubes (SWCNTs) hold promise for biomedicine and nanoelectronics, yet the functionalization with single-stranded DNA (ssDNA) remains a challenge. In a new study, researchers from Korea functionalized SWCNTs using high-affinity ssDNA sequences identified through high-throughput selection. They demonstrated the effectivity and stability of these constructs using molecular dynamics simulations. Machine-learning models were used to accurately predict patterns that govern ssDNA-SWCNT binding affinity. These findings provide valuable insights into the interactions between ssDNA and SWCNTs.

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