Life Sciences
Medical imaging aims to bring the invisible to light
Research
EPFL
Medical imaging technology – such as MRI, ultrasound and X-ray – is gaining in power and precision, especially in the wake of recent breakthroughs in artificial intelligence. Several EPFL research groups are contributing to this progress and actively shaping the future in this area.
How epigenetics influence memory formation
Research
EPFL
In an important study for understanding how memories are made, EPFL scientists show that the flexibility of chromatin – packaged DNA inside the cell – plays a crucial role in “deciding” which neurons are involved in forming a specific memory.
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.
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.
Mapping the biology of spinal cord injury in unprecedented detail
Research
EPFL
Combining advanced molecular mapping technologies and AI, researchers have published an open-source ‘atlas’ in Nature, providing a comprehensive understanding of spinal cord injury biology in mice and paving the way for new therapies.
Building a blueprint of metabolic health – from mouse to human
Research
EPFL
In a new study, EPFL scientists have uncovered the complex genetic and environmental interactions influencing metabolic health and have validated their findings in actual human data.
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