Can answering 36 questions make two people love each other?
Read MoreIllustration: Andrew Lee
Illustration: Andrew Lee
Can answering 36 questions make two people love each other?
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The most urgent war on drugs has nothing to do with marijuana.
The rise of pathogenic bacterial resistance to antibiotic drugs is equal parts appalling and fascinating. Our relationship with bacterial diseases is cyclic: microbes infect our bodies and transmit themselves among us, we drive them back with medicine, a few unique bacteria survive and repopulate their own robust kind, and we must then find a new weapon against them. As in war or espionage, both opponents adapt to attack and exploit each other’s weaknesses. As bacteria evolve in response to the drugs we deploy, their strengths and weaknesses change; their strength manifests as resistance to the last drug treatment they endured – or else they wouldn’t be alive in the first place. Their weaknesses could be any of several things, but our job as worthy opponents is to exploit them.
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How safe is BPA in our sunscreen?
Read MoreREM sleep is widely known to be essential for mood, memory, and learning. But why is it needed in the first place? Here, Xinyue Chen details her own experiences with sleep deprivation and discusses the four key features of REM sleep in humans, explaining how a full understanding of such a critical and well known biological process remains elusive.
The metaverse is a concept not typically associated with the healthcare industry. However, healthcare companies are quickly beginning to invest in this technology, promising virtual hospitals and pharmacies among other benefits in the not-too-distant future. Here, Khushbu Kabra discuses the potential role the metaverse will play in future healthcare, as well as the current state of the technology and concerns that will need to be addressed.
Exposure to dogs and other animals can help to reduce stress and improve patient outcomes in hospital settings. Here, dog-owner Alec Kittredge explains how animal-assisted interventions have been used and studied for the past several decades.
The history of science is full of examples of discovery, both intentional and accidental. But how do scientists study subject matter incapable of being explained by simple models? And additionally, if science can produce favorable results (say, in the clinic), to what extent does it matter whether or not the results can be fully explained? Here, Siddhant Iyer outlines the ways in which scientists may study as-of-yet unexplained phenomena and argues for a framework involving the use of complex models while also acknowledging limitations.