Aqua Vita and The Rhythm of Life explore the relationships between art, design and science, reinforcing a long-lasting collaboration between various scientific institutes and the arts. The projects' multidisciplinary nature allow for the exploration of experimental research parallel to a scientific agenda, contributing to the on-going discussion on the role of the creative industry within research and innovation.
For further information see: www.theaquavitaproject.com
For further information see: www.therhythmoflife.nlThe Bio-Information Network investigates interactions with biological data for healthcare, through the industrial design of innovative sensory interfaces, contributing to fundamental biophoton research at Leiden University. The insights obtained will contribute to exploring the ‘bioinformation network’, investigating how light and sound vibrations, or ‘rhythms of life’, are involved in regulating biological processes, to advance understanding of biofeedback loops in health and disease. The embedding of design, within the production of fundamental knowledge, will extend beyond the conventional use of Ultra Weak Photon Emission (UPE) technology, to investigate its potential roles in human to human communication. Interfacing the academic knowledge produced for society, Bionet investigates how public involvement in scientific research can be taken upstream through design. This approach will contribute to future research into ‘non-invasive diagnostic tools’, critically addressing the shift towards a more preventive and personalized care system.
The production of biological light (ultra-weak photon emission or biophotons) within many types of cells and tissues is characteristic of a living organism. You will begin a journey of discovery about biophotons in relationshipto biological matter and about how such biophotons can be detected utilizing specialized very photon-sensitivetechnologies.
“A single pill to cure every rheumatoid arthritis patient is a dated idea,” explains Herman van Wietmarschen. “People react differently to drugs because their genetic make-up and their life habits aren’t the same. It’s time to figure out to which subgroup patients belong, to get every patient the best drug as soon as possible.”
Koko Wei is validating Traditional Chinese medicine diagnoses with metabolomics analyses. “There may be value in the combination of both paths.” She has recently finished her PhD research at the Sino-Dutch Centre for Preventive and Personalized Medicine.