Invited Talk: Swedish Expert Explores the Future of E-Textiles
In his presentation titled “Merging Textiles and Electronics – and Beyond,” Prof. Persson, head of the Smart Textiles Technology Lab at the University of Borås, shared the latest developments and future directions in the fast-growing field of electronic textiles (e-textiles).
E-textiles, which integrate embedded electronic functionality into traditional fabrics, represent a major transformation in how materials are designed for human use. “Modern textile research is now blurring the line between material and device,” Prof. Persson noted, underscoring that textiles can now act as interactive systems rather than passive materials.
He highlighted how conductive fibers and embedded sensors enable fabrics to sense, respond, and even aid in medical applications. Examples ranged from wearable health monitoring systems and assistive textiles to innovations in soft robotics and adaptive materials. These advances promise to merge therapy, prevention, and comfort into continuous, textile-based healthcare solutions.
Prof. Persson, a pioneer in Sweden’s smart textile research, leads interdisciplinary work in fibretronics, ionotronics, medical and assistive textiles, soft actuators, and sustainable textile technologies. His research spans applications from textile-based pain management and rehabilitation systems to water purification and eco-friendly electronic materials.
The event showcased both the scientific innovation and human-centered potential of smart textiles, a field poised to reshape future healthcare, wellbeing, and material engineering.
Read more news
ACRIS service restored
The ACRIS research information management system is now open following the planned service break on 13–20 April 2026.
Science must have a voice in society – but how?
Trust in science has fallen in Finland by almost ten percentage points in two years
Meet our startup: Proteins.1 aims for a breakthrough in early disease detection
Biotechnology startup Proteins.1 is developing a technology that could enable the detection of diseases such as cancer months, or even years, earlier than is currently possible. The key lies in identifying individual proteins from a blood sample.