На информационном ресурсе применяются рекомендательные технологии (информационные технологии предоставления информации на основе сбора, систематизации и анализа сведений, относящихся к предпочтениям пользователей сети "Интернет", находящихся на территории Российской Федерации)

#Exponential Medicine

To Reinvent Healthcare, Stop Treating Patients and Start Building Communities

It’s not news that healthcare costs in the US are sky-high. What might be news to some, though, is that year over year, we’re spending more money to treat illness and disease, but getting less out of it. According to Asif Dhar MD, Chief Informatics Officer at Deloitte, spending on diabetes alone
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Can AI Rescue Modern Medicine From Itself?

Labor unions have been around since the mid-19th century, and they’ve helped many a teacher, government employee, electrical worker, and others gain fairer pay or better working conditions. Unions give workers a chance to dictate their own terms and present a united front, ideally leaving everyone
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Why Designing Our Own Biology Will Be the Next Big Thing in Medicine

It’s hard to watch a loved one get sick. Their eyes go glassy. Their breathing is punctuated by body-wracking coughs. Feverish and aching, they struggle to get out of bed. Hard as these symptoms are to witness, they’re so familiar you don’t need a medical degree to know it’s probably a bad cold
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Why Medicine Needs a New Hippocratic Oath—and What It Should Be

Somewhere along the road from sickness to health, the American medical system took a wrong turn—a big one. The cost of care in our country is sky-high, yet our population health outcomes tend to be worse than those of other developed countries (many of which have universal health care). Major
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Singularity University’s Exponential Medicine Kicks Off Today in San Diego

Tech is changing almost every aspect of modern life, and medicine and healthcare are no exception. New technologies are bringing quick advancement to areas that need them, and enabling rapid progress in everything from disease diagnosis to drug discovery. Neuroscientists are continuously learning
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