Targeting Cancer Cells’ Metabolism
Raphael Morscher, of the University Children’s Hospital Zurich, received the award for his research examining the metabolism of cancer cells as a potential therapeutic approach for neuroblastoma.
Precision Medicine
Article list Precision Medicine
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Antibody Spurs Nerve Fiber Regrowth Following Spinal Cord Injury
Scientists at UZH and Balgrist University Hospital reveal for the first time how the antibody therapy works: new nerve fibers were found to form functional connections once again. -
The Role of Gut Bacteria in Boosting Cancer Treatment
New research from Zurich shows that the gut microbiome may have an impact on cancer immunotherapy, giving patients who did not initially respond to treatment a second chance. -
Innovative Strength Driven by Basic Research
At UZH, basic research brings about innovative products and applications. Researchers at UZH filed several patents in 2025, and four new spin-offs were created. -
New AI Tool Improves Treatment of Cancer Patients after Heart Attack
Researchers have developed an AI-based risk prediction model that combines cancer-related and traditional cardiovascular factors. -
Solving the Alzheimer’s Puzzle
How can we influence whether we develop Alzheimer’s disease? Researchers at UZH are examining the factors that trigger the onset of the disease – and those that shield us against it. -
Deciphering the Immune System Side by Side
For their research that has helped develop immunotherapies to combat various forms of cancer, Gordon Freeman and Arlene Sharpe are the laureates of the Gretener-Thürlemann Prize. -
Targeted Diet Enhances Effects of New Childhood Cancer Therapy
Researchers from UZH and Kispi have developed a new approach to treat children with malignant tumors of the nervous system. Combined with a special diet, an approved drug slows tumor growth much more effectively. -
AI analyzes world's largest heart attack data sets – and reveals new treatment methods
A landmark international study led by the University of Zurich has shown that artificial intelligence can assess patient risk for the most common type of heart attack more accurately than existing methods. This could enable doctors to guide more personalized treatment decisions for patients. -
Beyond Women’s Hearts
Heart attack symptoms, disease risks, drug responses: our understanding of gender- and sex-specific differences in medicine is growing. -
Researchers use Ultrasound Holograms to Influence Brain Networks
The technique could open up new possibilities for treating devastating brain diseases such as Alzheimer’s, Parkinson’s and depression. -
Tricky Tumors
Brain tumors exploit the body’s immune system for their own benefit. Neurosurgeon Jenny Kienzler is researching ways to prevent this. -
Lifelong Motor Function Development
UZH researchers found that strength and coordination decrease dramatically with age, but fine motor skills of our hands and fingers do not. -
Back in European Business
Two ERC Starting Grants were awarded to UZH scientists, as researchers based in Switzerland are once again eligible for Horizon Europe funding. -
The Google Maps of Cell Analysis
Apricot BIO, a University of Zurich spin-off, developed a process that quickly determines the right medication for cancer patients. -
AI Meets CRISPR for Precise Gene Editing
The powerful new method opens the door to more accurate modeling of human diseases and lays the groundwork for next-gen gene therapies. -
A High-Resolution View of Cancer Cells
Today’s most advanced instruments can peer deep into living cells, helping researchers study diseases such as cancer and improve therapies. -
43,000 Data Points against Melanoma
Every tumor is unique. In a new study, scientists from Zurich and Basel used advanced technologies to create individual profiles for precise tumor treatment. -
500,000 Francs for Pioneering Research
The Gretener-Thürlemann Prize at the University of Zurich is awarded in its first year to researchers in the field of translational/clinical medicine. -
Digital Assistant for Cancer Treatment
AI has the ability to advance precision cancer treatment by using data to predict the course of the disease with greater accuracy. This saves resources and precious time.