Crowdsourcing to better forecast drug approvals
Researchers launched an in-house Data Science and Artificial Intelligence (DSAI) challenge to beat MIT’s machine-learning models for predicting clinical trial outcomes. The results are now available.
Researchers launched an in-house Data Science and Artificial Intelligence (DSAI) challenge to beat MIT’s machine-learning models for predicting clinical trial outcomes. The results are now available.
A recent study found evidence of an increase in heart attacks that had occurred out of the hospital, particularly in low-income neighborhoods.
"The promise of these technologies is that they're going to automate a lot of practices and processes, but they don't do that perfectly."
“It is impossible to accurately measure the incidence of...one-in-a-million ideas on a timescale relevant to political decision-making.”
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Pandemic defense requires a massive government program that engages the private sector; the public sector cannot and has not been able to handle health security problems of scale. However, relevant capabilities for invention, production, and distribution exist both in commerce and higher education. ...
"An...effort is needed now, both to help win the global war against COVID-19 and to ensure that nothing like this ever happens again.”
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Lockdowns during the COVID-19 pandemic were intended to prevent the spread of infection. They inadvertently caused reluctance to seek necessary medical including emergency care.
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New research from MIT Sloan assistant professor Jackson Lu shows a link between collectivistic cultures and higher rates of mask usage.
“Making health data available for academic research is an important step in advancing our understanding of diseases and cures."
"...we urge government leaders to continue to make the necessary investments...to fund wage increases for our deserving staff..."