Elon Musk, founder of Neuralink, a neurotech company founded in 2016 that’s working to build cutting edge brain machine interfaces.
Mental ping-pong in apes? It's not science fiction. Patricia Cooney examines how advances in neurotechnology have lead to the development of Brain Machine Interfaces (BMIs) that could transform how humans interact with the world.
Read More
History repeats itself every time a politician pushes the narrative of “foreigners taking American jobs.” PhDish writer Sergej explores the impact of the restrictive visa policies that took place under the Trump administration.
Read MoreA story about how my research trajectory changed
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.