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University of Gothenburg


More effective cell studies using new AI method

A new study from the University of Gothenburg introduces an AI-based method to develop faster, cheaper, and more reliable information about cells using microscopy. This approach eliminates the drawbacks of traditional fluorescence microscopy by providing accurate results without damaging cells or inhibiting processes.

SourceUniversity of Gothenburg·JournalBiophysics Reviews·TypeComputational simulation/modeling·DateOct 12, 2021

Brain damage from long stays in space

A study published in JAMA Neurology found that long-term exposure to space can cause brain damage in cosmonauts. The research analyzed five Russian male cosmonauts who spent an average of 169 days in space, showing significant increases in biomarkers for brain cell damage upon their return to Earth.

SourceUniversity of Gothenburg·JournalJAMA Neurology·TypeCase study·DateOct 12, 2021

Blue mussel habitat is decreasing

Climate change is linked to the decline of blue mussels in shallow waters along Sweden's west coast. Overfishing and invasive species are also contributing factors. The study found that warmer temperatures have led to an increase in freshwater input, making it harder for mussels to settle on natural substrates.

SourceUniversity of Gothenburg·JournalJournal of Shellfish Research·TypeLiterature review·DateSep 24, 2021

New findings on the field of perinatal brain injury

Researchers at the University of Gothenburg generated a comprehensive transcriptional atlas of neonatal mouse meningeal leukocytes, showing that these cells play a crucial role in brain development and pathology. The study also identified novel immune cell subtypes involved in brain injury and provided new insights into the interaction...

SourceUniversity of Gothenburg·JournalGenes & Development·TypeObservational study·DateAug 31, 2021

Increased survival with eye melanoma in clinical trial

A new combination treatment has shown significant tumor shrinkage and prolonged survival in patients with metastatic uveal melanoma. The treatment, which targets HDAC and PD-1 proteins, was found to work better in tumors with active BAP1 genes, a key discovery that may lead to improved survival rates.

SourceUniversity of Gothenburg·JournalNature Communications·TypeRandomized controlled/clinical trial·DateAug 30, 2021

Delayed care for juvenile new-onset type 1 diabetes

A Swedish study found that 43% of children with new-onset type 1 diabetes did not receive hospital treatment on the same day as primary care contact. Delayed care can lead to life-threatening conditions like diabetic ketoacidosis. Improved awareness and rapid treatment are crucial for preventing complications.

SourceUniversity of Gothenburg·JournalPediatric Diabetes·TypeCase study·DateAug 23, 2021

No signs of brain injury post-acute COVID-19

A recent study from University of Gothenburg found that all participants achieved normalization of CNS injury biomarkers, regardless of previous disease severity or persistent neurological symptoms. This suggests that post-COVID-19 neurological sequelae are not due to active brain injury, contradicting previous findings.

SourceUniversity of Gothenburg·JournalEBioMedicine·TypeRandomized controlled/clinical trial·DateAug 5, 2021

Internet CBT for depression reviewed and analyzed

An international study found that internet-based cognitive behavioral therapy (iCBT) is as effective as traditional CBT in treating mild to moderate depression, especially for the elderly. The study also identified harmful components of online treatments and emphasized the importance of regulating iCBT programs.

SourceUniversity of Gothenburg·JournalThe Lancet Psychiatry·TypeSystematic review·DateAug 1, 2021

Many prolonged sick leaves for COVID-19

A University of Gothenburg study found that nearly 12,000 people in Sweden received sickness benefit for COVID-19 during the first wave, with a median sick leave duration of 35 days. For 9% of participants, sick leave was still ongoing after 4 months, and those affected by long-term COVID-19 made up 13.3% of recipients.

SourceUniversity of Gothenburg·JournalBMC Public Health·DateJun 14, 2021

Heart failure and stroke rising in men under 40

A University of Gothenburg study found a significant increase in heart failure and stroke cases among men under 40 in Sweden, attributed to rising obesity rates and declining physical fitness. The study monitored over 1.2 million men for 20 years, revealing a sharp decline in heart attacks despite increasing obesity.

SourceUniversity of Gothenburg·JournalJournal of Internal Medicine·DateApr 8, 2021

No connection between proximity to Stockholm terrorist attack and attitudes to terrorism

Researchers investigated whether people affected by the 2017 Stockholm terrorist attack would change their political views on terrorism-related questions. Contrary to previous theories, they found no significant difference in attitudes among those who were close to the attack compared to those who were not. The study's findings suggest...

SourceUniversity of Gothenburg·JournalComparative Political Studies·DateMar 22, 2021

Research to improve exposed women's lives

Researchers discovered that resilient women describe their sense of living as a dynamic, ongoing process involving control, personal resources, social relationships, and acceptance. The study highlights the importance of societal support and accessible services to help young women with similar experiences.

SourceUniversity of Gothenburg·JournalFrontiers in Public Health·DateMar 4, 2021

New AI tool can revolutionise microscopy

A new AI tool developed at the University of Gothenburg uses deep learning to analyse microscope images, extracting more details and information than traditional methods. The tool, called Deep Track 2.0, simplifies data generation and allows for real-time analysis and customised information retrieval.

SourceUniversity of Gothenburg·JournalApplied Physics Reviews·DateMar 4, 2021

Algorithm that performs as accurately as dermatologists

A new AI algorithm has demonstrated the ability to accurately diagnose skin melanoma, rivaling that of experienced dermatologists. The study used machine learning to analyze 937 images and 200 cases, with results showing no significant difference between human dermatologists and the algorithm in making classifications.

SourceUniversity of Gothenburg·JournalJournal of the American Academy of Dermatology·DateFeb 12, 2021