DOCTORAL THESIS. Investigation of patients suspected of having urinary bladder cancer is resource-intensive. Often, it requires a camera examination through the urethra, which can cause discomfort and complications. Suleiman Abuhasanein’s thesis reveals new and rapid methods for early detection of this cancer form, potentially reducing costs for society and suffering for patients. A new urine test and an innovative AI technique can simplify the investigation of bladder cancer. That’s what…
Higher risk of 17 cancers after high BMI in late teens
NEW STUDY. Men who are overweight or obese at age 18 have a higher risk of 17 different cancers later in life. This has been shown in a study at the University of Gothenburg. The research also describes how the youth obesity epidemic is expected to affect the cancer situation over the next 30 years. In August, a study on higher cancer risk in men who had lower aerobic fitness…
Good fitness levels in youth linked to lower cancer risk
NEW STUDY. Men who have higher aerobic fitness at age 18 have a lower risk of several forms of cancer later in life, especially cancers of the gastrointestinal tract. This has been shown by a study at the University of Gothenburg. It is already known that physical activity can prevent certain types of cancer. The new study has examined the link between aerobic fitness at the time of military conscription…
Assar Gabrielsson’s Bigger Research Grant 2022 (for junior cancer researchers)
The Assar Gabrielssons Foundation annually awards two grants of SEK 600,000 each for major research projects. The funds can be used for salary costs (incl. own salary) and operating costs, and may be used for up to three years. Applications from the University of Gothenburg and Region Västra Götaland are preferred. Eligible to apply are postdocs and young researchers 2-7 years after their defense. Decutible time can be applied for…
Melanoma thickness equally hard for algorithms and dermatologists to judge
NEW STUDY. Assessing the thickness of melanoma is difficult, whether done by an experienced dermatologist or a well-trained machine-learning algorithm. A study from the University of Gothenburg shows that the algorithm and the dermatologists had an equal success rate in interpreting dermoscopic images. In diagnosing melanoma, dermatologists evaluate whether it is an aggressive form (invasive melanoma), where the cancer cells grow down into the dermis and there is a risk…