Age Resist

Age Resist

About

People of the same age can respond very differently to physical stress, such as surgery, yet clinicians lack a practical way to assess their capacity to cope and recover. This project combines information from sweat, vital signs and other relevant factors to build a picture of how the body responds to stress and recovers afterwards. Machine learning translates these changing signals into an estimate of resilience, which could help doctors identify vulnerable patients, tailor care and anticipate recovery.

Team

Vanessa Matos Gonçalves

Vanessa Matos Gonçalves

Biomedical engineer working at the intersection of sensing technologies, digital health, and clinical research. With research experience in Portugal and Germany and industry experience in Switzerland developing a wearable transcutaneous glucose monitor, I bring a cross-sector perspective to healthcare innovation. Currently pursuing a PhD at ETH Zürich, I investigate sweat-based biomarkers of aging and resilience within an SNSF/NSF-funded project. Alongside my PhD, I completed a CAS in Digital Clinical Trials, strengthening my interest in integrating emerging technologies into clinical research. Award-recognized and collaborative, I am driven by one goal: translating innovative sensing technologies into practical tools that improve patient care.

Rene Rossi

Rene Rossi

René Rossi studied applied physics at the University of Neuchâtel and obtained his PhD at ETH Zurich. Since 2003, he has been leading the Laboratory for Biomimetic Membranes and Textiles at Empa, a group of around 40 researchers developing novel smart fibers, textiles and membranes for body monitoring, drug delivery and tissue engineering applications. A special focus is to develop physical and numerical skin/body models for the analysis of the interactions between materials and the human skin to optimize the protection and ergonomics of systems. René Rossi is adjunct professor at the Department of Health Sciences and Technology at ETH Zurich

Ekaterina Maevskaia

Ekaterina Maevskaia

Ekaterina Maevskaia is a Postdoctoral Researcher at Empa’s Laboratory for Biomimetic Membranes and Textiles. Her research focuses on wearable sensors, biomedical textiles, and health monitoring, including the investigation of heat stress and biological age prediction and textile-based sensors and electrodes. She holds a PhD in Biomedicine from the University of Zurich, where her research focused on lightweight scaffolds for bone tissue engineering.

Moon-Ju Kim

Moon-Ju Kim

Moon-Ju Kim is a postdoctoral researcher in Medical Engineering at Caltech, working with Prof. Wei Gao. She received her PhD in Materials Science and Engineering from Yonsei University, South Korea, where she developed nanophotonic materials for laser desorption/ionization mass spectrometry and investigated their underlying mechanisms. At Caltech, she has expanded her research into mass spectrometry-based metabolomics, lipidomics, and proteomics for biomarker discovery in noninvasive fluids, including sweat, skin sebum, and exhaled breath condensate. In AGE RESIST, she investigates sweat metabolites and proteins to identify biomarkers of heat response and recovery and explore their relationships with biological aging.

Noé Brasier

Noé Brasier

Noé Brasier, MD, is a Senior Scientist at ETH Zurich's Institute for Molecular and Translational Medicine and board-certified internist. His research bridges clinical medicine and engineering, focusing on wearable body-fluid sensing, particularly sweat-based digital biomarkers for health monitoring and resilience assessment. As executing Principal Investigator of the SNSF-funded AGE RESIST project and lecturer in Health Science & Technology, he translates wearable sensing technologies into clinical practice.

Simon Annaheim

Simon Annaheim

Simon Annaheim is a Scientific Group Leader at Empa in St. Gallen, where he leads research on materials–body interactions and continuous physiological monitoring using flexible, textile-integrated sensors. He holds a PhD in human movement sciences and exercise physiology from ETH Zurich, where he also lectures. His interdisciplinary work bridges human physiology, biomedical engineering, smart textiles, and applied measurement science, with particular expertise in wearable sensing, thermophysiology, respiration, body temperature, and signal-quality assessment. He collaborates with academic, clinical, and industrial partners to advance health monitoring, safety, and human performance.