TimeTeller wins at the Health & Life Science Venture Day
The Health & Life Science Venture Day 2024 organised by the Life Science Nord cluster showed just how great the potential for innovation is in the healthcare sector. Nine startups presented their pioneering products and technologies, with TimeTeller winning the pitch.
The importance of the healthcare sector for Hamburg as a business location was made clear by the presence of First Mayor Dr Peter Tschentscher. In his welcoming speech, he referred to the approximately 200,000 employees in this sector and cited the global cosmetics company Beiersdorf, which began as a startup 140 years ago, as a role model for today's generation of founders.
Nine innovative ideas for the medical sector
They are at the forefront of scientific and technological developments, particularly in the medtech sector. GQ Bio, for example, is developing a gene therapy platform that makes it possible to work with large and multiple genes. mo:re offers a hardware and software solution for growing mini-organs to make animal testing superfluous. FUSE-AI uses artificial intelligence (AI) to evaluate MRI images and minimise the error rate when identifying tumours. AI will soon also be used by doctorderma, the digital dermatologist.
Cells that are needed for research, for example, are sensitive and cannot be frozen without major losses. Cellbox from Cologne has designed a box that enables safe transport for a period of up to 48 hours. mobox is the name of the product from Lübeck-based startup Lumeox, which makes it possible to carry out a blood test for emergency medicine directly at the scene of an accident. Pheal travelled from Osnabrück to present a sensor system that detects complications in high-risk patients with heart disease in good time. And ichó was at the start for Duisburg with a high-tech ball for the treatment of patients with neurological diseases. However, the public vote was once again won by Prof Dr Angela Relógio. Her multi-award-winning startup TimeTeller uses a saliva test to determine the optimum time for cancer treatment.
