Tag Archives: Lithium

A slice from a normal human brain (left, artificially coloured) contrasts with a slice from the brain of a person with Alzheimer’s disease.Credit: Jessica Wilson/Science Photo Library Replenishing the brain’s natural stores of lithium can protect against and even reverse Alzheimer’s disease, suggests a paper published1 today in Nature. The paper reports that analyses of human brain tissue and a …

Human brain samples Post-mortem human brain and serum samples were obtained in accordance with institutional guidelines and with approval from the Harvard Medical School Institutional Review Board. All procedures complied with relevant ethical regulations. All post-mortem human brain and serum samples were fully deidentified before receipt, and no identifiable private donor information was accessible to the researchers. As such, informed …

The research suggests a new approach to preventing and treating the mind-robbing disease. “It seems to somehow turn back the clock,” said the team’s senior author, Dr. Bruce Yankner, co-director of the Paul F. Glenn Center for the Biology of Aging Research, and professor of genetics and neurology at Harvard. The findings come amid a rising tide of Alzheimer’s and …

Research on reversing Alzheimer’s reveals lithium as potential key  The Washington Post New hope for Alzheimer’s: Groundbreaking Harvard study finds lithium reverses brain aging  The Boston Globe Lithium, a treatment for bipolar disorders, might be a key to Alzheimer’s disease  statnews.com Low dose of lithium reverses Alzheimer’s symptoms in mice  New Scientist Lithium loss ignites Alzheimer’s, but lithium compound can reverse disease in mice  Medical …

Researchers from New Jersey Institute of Technology (NJIT) have used artificial intelligence to tackle a critical problem facing the future of energy storage: finding affordable, sustainable alternatives to lithium-ion batteries. In research published in Cell Reports Physical Science, the NJIT team led by Professor Dibakar Datta successfully applied generative AI techniques to rapidly discover new porous materials capable of revolutionizing …

IN A NUTSHELL 🔋 Chinese researchers have developed a predictive model that accurately forecasts lithium metal anode failures. 🔍 The model uses electrochemical fingerprints from initial battery cycles to identify potential failure mechanisms. ⏱️ Machine learning algorithms enable this model to reduce testing time and resources, enhancing efficiency in battery development. 🔧 This breakthrough supports the design of more robust …