David Baker, Fiorenzo Omenetto, and University of Washington and Tufts colleagues have developed a garment-printed biopolymer sensor which detects bacteria, toxins, and dangerous chemicals. To work, a chemical activator must be sprayed after potential exposure. If the target is present, the sensor generates light. The intensity of emitted light provides a quantitative measure of the […]
AI
Google AI detects tuberculosis
Google’s deep learning technology detected tuberculosis with similar accuracy to radiologists in a Radiology study. 165,174 chest radiographs from 22,284 patients in four countries were scanned. In detecting active tuberculosis, its sensitivity was higher (88 percent versus 75 percent) and its specificity was noninferior (79 percent versus 84 percent) compared to nine radiologists. Costs were […]
Brain / Parkinson's
qMRI for early detection of Parkinson’s disease
Aviv Mezer and Hebrew University colleagues used quantitative MRI to identify cellular changes in Parkinson’s disease. Their method enabled them to look at microstructures in the striatum, which is known to deteriorate during disease progression. Using a novel algorithm developed by Elior Drori, biological changes in the striatum were revealed, and associated with early stage […]
Brain
Non-invasive stimulation improves memory in study
In a recent study, Boston University professor Robert Reinhart used tACS to stimulate brain activity in 150 people aged 65-88, resulting in memory improvements for one month. Stimulating the dorsolateral prefrontal cortex improved long-term memory, while stimulating the inferior parietal lobe, with low-frequency electrical currents, boosted working memory. Participants were asked to recall 20 words […]
AI / Brain / Parkinson's
Neural Network assesses sleep patterns for passive Parkinson’s diagnosis
MIT’s Dina Katabi has developed a non-contact, neural network-based system to detect Parkinson’s disease while a person is sleeping. By assessing nocturnal breathing patterns, the series of algorithms detects, and tracks the progression of, the disease — every night, at home. A device in the bedroom emits radio signals, analyzes their reflections off the surrounding […]
AI / Cancer
AI catches breast cancer earlier, more often than traditional screening alone
The mammography screening paradigm has not changed since the 1960s. Breast screening AI company Vara, with Essen University and Memorial Sloan Kettering hospitals, published a study showing that radiologists assisted by AI are better able to screen for breast cancer. The hope is that AI systems could detect cancers that doctors miss, provide better care […]