Alien and UFO enthusiasts were left disappointed again last month, as Professor of Microbiology and Immunology Garry Nolan Ph.D. ’89 P.D. ’89 debunked theories of extraterrestrial origins surrounding a skeleton found in Chile’s Atacama Desert and instead identified it as a humanoid.
A group of Stanford researchers have developed a new technique for tracking cell interactions in living bodies, an advance that has significant implications for revealing information about the migration of metastatic cancer cells.
Robb Willer is an associate professor of sociology and the author of research suggesting that men with higher levels of testosterone are more likely to feel threatened and act out in the form of masculine overcompensation. The Daily sat down with Willer to discuss the roots of his interests in masculinity studies, his stance on the burgeoning field of men’s studies and what trends in male behavior reveal about the state of the gender.
A research team led by Assistant Professor of Materials Science and Engineering Jennifer Dionne has made a significant step towards the eventual creation of an invisibility cloak, having designed a metamaterial that interacts with a wide range of wavelengths of light.
Researchers in the School of Medicine recently published a study detailing the development of mouse models that use luciferase, the gene that makes fireflies glow, to follow the progression of limb-girdle muscular dystrophy through noninvasive imaging of the luminescent decaying muscle cells.
A study led by Professor of Medicine Paul Heidenreich ’84 P.D. ’95 M.S. ’98 has found that by 2030, one of every 33 Americans — more than eight million individuals — will have heart failure and the overall cost of treating heart failure patients will have risen from $31 billion in 2012 to $70 billion in 2030.
Accessible genetic screenings for anyone considering having children could soon be a reality, if Counsyl—a genetic testing company founded by a team of Stanford alumni—achieves its aim.
Researchers at the School of Medicine’s Stanford Brain Development Project have recently discovered that MRI scans can most successfully predict how much a student’s math skills will improve after intensive tutoring.