Tag: Advanced

Nudges combined with machine learning triples advanced care conversations among patients with cancer

Credit: Unsplash/CC0 Public Domain

An electronic nudge to clinicians—triggered by an algorithm that used machine learning methods to flag patients with cancer who would most benefit from a conversation around end-of-life goals—tripled the rate of those discussions, according to a new prospective, randomized study of nearly 15,000 patients from Penn Medicine and published today in JAMA Oncology.

Early and frequent conversations with patients suffering from serious illness, particularly cancer, have been shown to increase satisfaction, quality of life, and care that’s consistent with their values and goals. However, today many do not get the opportunity to have those discussions

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2020 IEEE Brain Workshop on Advanced Neurotechnologies

IEEE Brain Initiative Workshop on Advanced NeuroTechnologies
Virtual – October 22-23, 2020 


Registration 1-pg Papers Sponsors/Exhibitors Preliminary Program



There is an increasing interest and need in the development and use of advanced neuroscience and neuromodulation technologies to monitor and control brain activities to treat a wide range of neurological disorders, including movement-related disorders, pain, epilepsy, and depression. Advancements in hardware precision and size, neural interfaces, digital tools, and our fundamental understanding of the nervous system in health and disease suggests that the field is primed to see rapid growth and innovation in the coming years.

The 2020 IEEE Brain

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Why Advanced Manufacturing Will Increase Productivity ?

In the past industry, the process of competing for the competitive advantage of the manufacturing industry mainly relied on finding new and abundant sources of cheap labor. However, with the rapid rise in wages in China and other emerging markets, global manufacturers are under increasing pressure to obtain old-fashioned advantages through increased productivity.

​Technology development may be the catalyst for the next wave of manufacturing productivity growth. This development (sometimes referred to as “Industry 4.0”) is characterized by cyber-physical systems (CPS) and dynamic data processes that use large amounts of data to drive intelligent machines. The declining price, the continuous

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