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It takes a lot of time and money to diagnose Alzheimer’s disease. After running a lengthy face-to-face neuropsychological exam, the doctor must copy, review, and analyze each response in detail. But researchers at Boston University have developed a new tool that could automate the process and eventually allow it to move online. Their machine learning-powered computational model can detect cognitive impairment from audio recordings of neuropsychological-tests; no in-person appointment required. Their findings were published in Alzheimer’s & Dementia: Journal of the Alzheimer’s Association . “This approach brings us one step closer to early intervention,” said Ioannis Paschalidis, co-author of the paper and BU College of Engineering Distinguished Professor of Engineering. He said faster early detection of Alzheimer’s could prompt larger clinical trials that focus on individuals in the early stages of the disease and potentially enable clinical interventions that slow cognitive

Can we really see the equity base? Rubner certainly sees signs of resilience, not least of which is that for all the pain investors have endured this year, they have continued to hold on to their shares, with small equity outflows this year far from the investor capitulation that has historically signaled the end of a bear market. That the rally on Wall Street was not derailed by the strong US employment data released late Friday also shows fresh signs of resilience. Indeed, the idea that bad news is good news – that is, strong economic data supporting a further round of aggressive central bank rate hikes is actually positive because it will bring about a recession that will see the Federal Reserve start easing monetary policy again – seems to be gaining some acceptance. . The shift from cyclical stocks that will succeed in an inflationary environment towards stocks that win when inflation is low or even falling speaks for itself. Bank of America data showed material stocks on Wall Str