Research
Enhancing breast cancer diagnosis and treatment
Research
EPFL
Addressing problems with diagnosing and treating breast cancer, scientists at EPFL have developed EMBER, a tool that integrates breast cancer transcriptomic data from multiple databases. EMBER can improve precision oncology by accurately predicting molecular subtypes and therapy responses.
Predicting the toxicity of chemicals with AI
Research
Eawag
Researchers at Eawag and the Swiss Data Science Center have trained AI algorithms with a comprehensive ecotoxicological dataset. Now their machine learning models can predict how toxic chemicals are to fish.
Bridging the “Valley of Death” in carbon capture
Research
EPFL
Developed at EPFL, Heriot-Watt University, and ETH Zurich, PrISMa is a new platform that uses advanced simulations and machine learning to streamline carbon capture technologies, by taking into account the perspectives of diverse stakeholders early in the research process.
3D visualization brings nuclear fusion to life
Research
EPFL
EPFL was selected by the EUROfusion consortium to develop an advanced visualization system for a preliminary process in nuclear fusion. The system is designed to turn reams of simulation and testing data into real-time graphics worthy of today’s advanced video games.
A hydrogel implant to treat endometriosis
Research
ETH Zurich Empa
Researchers from ETH Zurich and Empa have developed a hydrogel implant that can help prevent endometriosis, a condition that affects a great many women. This innovation also acts as a contraceptive.
Researchers discover novel deepwater renewal process in Lake Geneva
Research
EPFL
EPFL researchers discovered that deepwater renewal in Lake Geneva in wintertime is not only due to vertical mixing. Instead, strong currents coming from the lake’s Petit Lac basin and nearshore zones of the Grand Lac play a vital role.
How climate change is altering the Earth’s rotation
Research
ETH Zurich
When the Earth’s ice masses melt, the way the planet rotates also changes. Researchers at ETH Zurich have now been able to show how climate change is altering the Earth’s axis of rotation and the length of the day. The speed of rotation, which was hitherto mainly influenced by the moon, will now also depend much more on the climate.
Running without air resistance
Research
ETH Zurich
A newly developed airshield supports track and field athletes such as Mujinga Kambundji with overspeed training.
A list of priorities for the protection of biodiversity
Research
Eawag
Biodiversity is dwindling rapidly, while measures to protect it are lagging behind the targets. Only one thing can help: utilising scarce resources as efficiently as possible where they are most effective. The “Lanat-3” research project lays the foundation for this with the help of the latest data and AI-supported models.
Navigating the labyrinth: How AI tackles complex data sampling
Research
EPFL
Researchers at EPFL have made a breakthrough in understanding how neural network-based generative models perform against traditional data sampling techniques in complex systems, unveiling both challenges and opportunities for AI's future in data generation.
Mining rare earth metals from electronic waste
Research
ETH Zurich
ETH researchers are developing a process inspired by nature that efficiently recovers europium from old fluorescent lamps. The approach could lead to the long-awaited recycling of rare earth metals.
A 2D device for quantum cooling
Research
EPFL
EPFL engineers have created a device that can efficiently convert heat into electrical voltage at temperatures lower than that of outer space. The innovation could help overcome a significant obstacle to the advancement of quantum computing technologies, which require extremely low temperatures to function optimally.
Innovative battery design: more energy and less environmental impact
Research
ETH Zurich
A new electrolyte design for lithium metal batteries could significantly boost the range of electric vehicles. Researchers at ETH Zurich have radically reduced the amount of environmentally harmful fluorine required to stabilise these batteries.
AI matches protein interaction partners
Research
EPFL
Scientists at EPFL unveil DiffPALM, an innovative AI method that enhances the prediction of protein interactions and our understanding of biological processes potentially relevant to medical applications.
A collaboration to push the boundaries of cosmos mapping
Research
EPFL
EPFL officially joined the Multi Spectroscopic Telescope (MUST) project, led by China’s Tsinghua University, as a founding member. This flagship project will enable scientists to better understand the young universe, dark energy and dark matter.
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