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blogs.bmj.com | ||
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www.health.harvard.edu
Monitoring daily step count can encourage people to be more active. When it comes to assessing fitness or risk for major illnesses, though, is a new measurement that combines both average steps and heart rate better? |
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news.harvard.edu
A new study suggests that both step-count and time-based exercise goals are equally effective in reducing risks of heart disease. |
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www.acc.org
[AI summary] A study presented at the Asian Pacific Society of Atherosclerosis and Vascular Diseases Congress 2025 found that high levels of remnant cholesterol are an independent risk factor for major adverse cardiovascular events in young adults, even when LDL cholesterol levels are optimal. |
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jonathanbgn.com
Since the deep learning wave started in the early 2010s, there has been much hype and disappointments. I feel that a big part of this is due to high expectations driven by research progress that do not translate so well in real-world applications. Hopefully, self-supervised learning might be able to close the gap between these two worlds. This learning paradigm is not new, but it has seen a resurgence of interest over the past few years thanks to mediatized successes like GPT-3 or BERT. Many AI pundits h... |
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