Lung cancer scans can reveal signs of other undiagnosed cancers

When doctors review diagnostic medical scans for lung cancer, they sometimes spot abnormalities unrelated to the lungs. New research shows that some of those abnormalities could be signs of other undiagnosed cancers. The study, led by researchers at the Brown University School of Public Health, analyzed lung screening data from more than 26,000 people who took … Read more

Study proposes genetic basis for autism’s strong sex bias

Autism has a significant and enduring sex bias, with roughly four boys diagnosed for every girl. For many years, experts have believed this disparity arises primarily from diagnostic inequities because much of autism research – and the screening tools that grew out of it – has historically focused on boys, effectively setting a male standard … Read more

Whole genome sequencing improves diagnosis of rare diseases

A collaboration between Karolinska Institutet, Karolinska University Hospital, and SciLifeLab has integrated whole genome sequencing into routine diagnostic investigations for rare diseases at Karolinska University Hospital. To date, more than 15,000 patients have had their entire genome sequenced, with 23 per cent receiving a genetic diagnosis, according to a study published in Genome Medicine. The … Read more

UStudy links diagnostic timing to ovarian cancer survival outcomes

The study “Diagnostic Timing and Ovarian Cancer Survival in North Carolina” has been published in the latest issue of JAMA Network Open. Led by a team of UNC-Chapel Hill researchers, this study explored the relationship between survival and how quickly patients are diagnosed with ovarian cancer. Ovarian cancer is hard to diagnose early. Its symptoms, like bloating … Read more

Chronic inflammation leaves epigenetic scars that increase future cancer risk

Chronic inflammation can raise a person’s risk of cancer, and a new study reveals key details about how that might happen in the gut and points to better ways to identify and reduce risk. Scientists at the Broad Institute and Harvard University have revealed in mice that after colitis, or chronic intestinal inflammation, seemingly healed … Read more

New insights into acupoint sensitization in disease diagnosis and therapy

In both traditional acupuncture theory and modern medical experience, acupoints are central to therapeutic outcomes, yet their biological nature has remained controversial. Conventional models assume static point locations, which have contributed to inconsistencies in clinical trials and debates over placebo effects. Meanwhile, studies of referred pain, neurogenic inflammation, and somato-visceral reflexes suggest that disease can … Read more

Researchers use multiview deep learning to enhance echocardiogram analysis

Heart disease is the leading cause of adult death worldwide, making cardiovascular disease diagnosis and management a global health priority. An echocardiogram, or cardiac ultrasound, is one of the most commonly used imaging tools employed by physicians to diagnose a variety of heart diseases and conditions.  Most standard echocardiograms provide two-dimensional visual images (2D) of the three-dimensional (3D) cardiac anatomy. These echocardiograms often capture hundreds of 2D slices or views of a … Read more

Psychiatrists’ use of biomarkers could open a new window into mental health diagnoses

Amanda Miller was 30 and pregnant with her second child in Hershey, Pennsylvania, when she developed depression. After she gave birth, her depression worsened. It was joined by a slew of unexplained health problems. Miller, a neuroscientist, said she saw several psychiatrists and got prescriptions for drug after drug. Over two years, she tried four … Read more

New AI system reduces pathologist workload while maintaining diagnostic accuracy

Artificial intelligence could make cancer diagnosis safer and fairer by learning when to defer to human pathologists without overloading them, according to researchers from the University of Surrey and Monash University. The approach tackles two critical problems that have limited the use of AI-assisted decision-making in cancer pathology, radiology and other fields where human expertise … Read more