Versión original en inglés escrita por Christina Vallianatos, traducida al español por Adrian Melo Carrillo y editado por Jean Carlos Rodriguez Diaz.
Vivimos en una época en la cual compartimos de más. Desde tu mejor amigo compartiendo sus fotos artísticas de comida (#boozybrunch), hasta tu colega tuiteando en tiempo real su experiencia de parto (“¡Cesárea en 20 minutos!”), parece que constantemente nos enteramos de detalles íntimos de todo el mundo.
¿Qué pasaría si alguno de esos momentos en que compartimos demasiada información no fueran necesariamente “demasiada información”? ¿Y si estos momentos estuvieran de hecho ayudando a resolver una de los mayores dilemas en el campo de la genética humana: la identificación de genes causantes de enfermedades?
Editors: Jessica Cote, Noah Steinfeld, and Shweta Ramdas
Five months after the 2016 U.S. Presidential election, many remain confused about how Donald Trump made it into the White House despite leading a seemingly disorganized and unconventional campaign against a more experienced candidate. To understand how this happened, experts have taken a closer look at the campaign strategies employed by Trump, and one majortheory is that Trump won the presidency thanks to big data analysis by an analytics company called Cambridge Analytica.
But is there really enough evidence to support that big data won Trump the election?
Editors: David Mertz, Zuleirys Santana Rodriguez, and Scott Barolo
In a previous post, we discussed how proteins fold into unique shapes that allow them to perform their biological functions. Through many physical and chemical properties, like hydrogen bonding and hydrophobicity, proteins are able to fold correctly. However, proteins can fold improperly, and sometimes these malformed peptides aggregate, leading to diseases like Alzheimer’s.
How can we figure out when the folding process goes wrong? Can we use computers to figure out the folding/misfolding process and develop methods to prevent or undo the damage done by protein aggregates?
Off the Danish coast in Copenhagen, Don Siegel, an associate professor in the University of Michigan’s College of Engineering, is on sabbatical. He said the ocean is speckled with tall, white windmills. At some sites, they stand in great curving rows; at others, they’re arrayed in a geometrical pattern.
“Denmark’s very windy,” he said over the phone.
He’s right. The country, according to Energinet, receives 42 percent of its electrical power from wind alone. In fact, Siegel said sometimes there are “emergency situations” where the turbines are pumping out electricity faster than it can be used.
Editors: Ada Hagan, Alisha John, Shweta Ramdas, Scott Barolo
On July 4th 2016, NASA announced that the spacecraft Juno arrived at Jupiter after traveling two billion miles over five years. Juno was designed to investigate the origin of Jupiter, our solar system’s largest planet.
Editors: Brittany Dixon, Zuleirys Santana Rodriguez, Scott Barolo
Zebrafish may not look impressive, but they can do something that no human can: regenerate large portions of organs that are damaged or lost. These fish, each about as long as your pinky finger, are able to regrow amputated fins, repair lesioned brains, and mend damaged eyes, spinal cords, and hearts. This remarkable ability to heal has fascinated scientists for some time, and in recent years, large strides have been made towards translating this regenerative ability to humans. Continue reading “Regenerative medicine – Panacea or hype?”
Editors: Molly Kozminsky, Ellyn Schinke, Irene Park
We live in a world of science and technology. Biomedical research helps improve our lives everyday by providing us with vital information about everything from hygiene to Alzheimer’s disease. Computers provide us with access to wealth of information on any subject in an instant and expedite many of our daily activities. Often these two worlds overlap and computers are also used to provide scientists with information about our own health and survival to facilitate biomedical research.