A new study from the University of Oxford, published in Public Health, shows that European people in the lowest income deciles are much more likely to feel lonely than those in the highest income deciles, despite no difference in how often they socialise. Furthermore, both poverty and loneliness were strongly associated with higher scores on a defensive symptom cluster characterised by elevated levels of pain, fatigue and low mood.

The study also showed that the symptom-reducing effects of social connection were strongest for people living in poverty. These findings have important implications for social, economic, and health policy, suggesting that strong social relationships may serve as important buffers against some of the health consequences of poverty.

A new study from the University of Oxford, published in Public Health, shows that European people in the lowest income deciles are much more likely to feel lonely than those in the highest income deciles, despite no difference in how often they socialise. Furthermore, both poverty and loneliness were strongly associated with higher scores on a defensive symptom cluster characterised by elevated levels of pain, fatigue and low mood.

The study also showed that the symptom-reducing effects of social connection were strongest for people living in poverty. These findings have important implications for social, economic, and health policy, suggesting that strong social relationships may serve as important buffers against some of the health consequences of poverty.

Experts from the University of Nottingham have proven that multiple sclerosis (MS) can successfully be diagnosed using an MRI scan, meaning patients no longer need to undergo a painful lumbar puncture.

In the new study, published in Neurology® Open Access, an official journal of the American Academy of Neurology, experts from the School of Medicine found that by using a new MRI scan, they could successfully diagnose MS in 8 minutes. The findings could provide the NHS with a scientific approach to diagnosing MS which is safer, more cost effective and more importantly acceptable to patients.

The study was funded by the National Institute for Health and Care Research (NIHR).

MIT researchers found a way to measure cell density quickly and accurately — measuring up to 30,000 cells in a single hour. They also showed density changes could be used to make useful predictions, including whether T cells have become activated to kill tumors or whether tumor cells are susceptible to a specific drug.

Using a computational strategy that allows them to combine information from many large datasets, MIT researchers have identified several new potential targets for Alzheimer’s disease.