Just a few days on a night shift schedule throws off protein rhythms related to blood glucose regulation, energy metabolism and inflammation, processes that can influence the development of chronic metabolic conditions. The finding provides new clues as to why night shift workers are more prone to diabetes, obesity and other metabolic disorders. Though more research is needed, the researchers said the study shows that these disrupted rhythms can be seen in as little as three days, which suggests early intervention to prevent diabetes and obesity is possible. Such intervention could also help lower the risk of heart disease and stroke, which is elevated in night shift workers as well.
Read more …How night shift work can raise risk of diabetes, obesity
Researchers present Tripath: new, deep learning models that can use 3D pathology datasets to make clinical outcome predictions. The research team imaged curated prostate cancer specimens, using two 3D high-resolution imaging techniques. The models were then trained to predict prostate cancer recurrence risk on volumetric human tissue biopsies. By comprehensively capturing 3D morphologies from the entire tissue volume, Tripath performed better than pathologists and outperformed deep learning models that rely on 2D morphology and thin tissue slices.
Read more …AI advancements make the leap into 3D pathology possible
Researchers have developed a robotic feeding system that uses computer vision, machine learning and multimodal sensing to safely feed people with severe mobility limitations, including those with spinal cord injuries, cerebral palsy and multiple sclerosis.
Read more …Robotic system feeds people with severe mobility limitations
Aging clocks can measure the biological age of humans with high precision. Biological age can be influenced by environmental factors such as smoking or diet, thus deviating from the chronological age that is calculated using the date of birth. The precision of these aging clocks suggests that the aging process follows a program. Scientists have now discovered that aging clocks actually measure the increase in stochastic changes in cells.
Read more …How biological aging clocks tick