People in so-called “Blue Zones” have low rates of chronic disease and long life expectancy.
Category: biotech/medical – Page 469
Researchers have succeeded in restoring lost brain function in mouse models of stroke using small molecules that in the future could potentially be developed into a stroke recovery therapy. “Communication between nerve cells in large parts of the brain changes after a stroke and we show that it can be partially restored with the treatment,” says Tadeusz Wieloch, senior professor of neurobiology at Lund University in Sweden.
“Concomitantly, the rodents regain lost somatosensory functions, something that around 60 per cent of all stroke patients experience today. The most remarkable result is that the treatment began several days after a stroke,” Wieloch continues.
In an ischemic stroke, lack of blood flow to the brain causes damage, which rapidly leads to nerve cell loss that affects large parts of the vast network of nerve cells in the brain.
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Mismatch repair deficiency is a biomarker for predicting response to cancer immune checkpoint inhibitors. A new study may explain why it can fall short.
An international team of scientists has collaborated to develop a new DNA-based nanobot that can self-replicate indefinitely under the right conditions.
A new study has been published showcasing a new DNA-based nanobot that could open the door to producing life-saving drugs in the human body.
A team of scientists used gene editing to create what they thought would be a calmer rodent. Instead, the gene-edited rodents were angrier.
Today, I am going to talk about how AI is already making a significant impact in the realm of breast cancer diagnosis, particularly in the critical task of r…
Dr. David Sinclair presents about the new update on epigenetic reprogramming on reversing aging to prevent and treat rare and common diseases in this video.
The FDA has approved two new gene therapies for sickle cell disease, a ‘functional cure’ for many patients.
Abstract. Individual differences in the spatial organization of resting-state networks have received increased attention in recent years. Measures of individual-specific spatial organization of brain networks and overlapping network organization have been linked to important behavioral and clinical traits and are therefore potential biomarker targets for personalized psychiatry approaches. To better understand individual-specific spatial brain organization, this paper addressed three key goals. First, we determined whether it is possible to reliably estimate weighted (non-binarized) resting-state network maps using data from only a single individual, while also maintaining maximum spatial correspondence across individuals. Second, we determined the degree of spatial overlap between distinct networks, using test-retest and twin data.