Machine learning technique can transform hospital care for long-COVID patients
Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ.
SUSA initiative aims to equip healthcare professionals with digital skills
The University of Oulu, in collaboration with a consortium of leading academic institutions, research centers, and industry stakeholders, proudly announces the launch of the Sustainable Healthcare with Digital Health Data…
Exploring sexual health challenges in women with pelvic floor disorders
Many women experience problems due to a weakened or damaged pelvic floor. These ailments are most common in pregnant women, women who have recently given birth, and menopausal women. However,…
Brain maturation delays linked to unhealthy eating behaviors in youth
More than half of 23-year-olds in a European study show restrictive, emotional or uncontrolled eating behaviors, according to new research led by the Institute of Psychiatry, Psychology & Neuroscience (IoPPN)…
Doctors, nurses press ahead as wildfires strain Los Angeles’ health care
The rapidly spreading wildfires that have transformed much of Los Angeles County into a raging hellscape are not only upending the lives of tens of thousands of residents and business…
Breakthrough microscopy technique reveals how antibodies target cancer cells
In blood cancers such as chronic lymphocytic leukaemia, B cells of the immune system multiply uncontrollably.
HIV drug access remains a major challenge despite promising trial results
Promising new drugs to prevent and treat HIV have the potential to transform the response to the disease. But getting these drugs to those who need it most will be…
Most disease-causing mutations that swap amino acids do so by making proteins less stable
Research shows 60% of missense mutations destabilize proteins, linking protein folding to genetic diseases, including cataracts and neurological disorders.
Machine learning reveals why cancer trials fall short in real-world patients
TrialTranslator uses machine learning to assess cancer RCT generalizability, revealing survival gaps for high-risk patients and enhancing research accuracy.
Health care AI, intended to save money, turns out to require a lot of expensive humans
Preparing cancer patients for difficult decisions is an oncologist's job. They don't always remember to do it, however.