Brain scans, blood samples, and other diagnostic tests could one day direct doctors to the best treatments for depression patients and uncover the biological basis of the condition.
Susan YoungFollow @twitterapi
I’m the biomedicine editor for MIT Technology Review. I look for stories where technology stands to improve human health or advance our understanding of the human condition.
I joined MIT Technology Review in March 2012 after a brief stint in the Washington, D.C., news bureau of the scientific journal Nature. Before I ventured to the East Coast, I spent several years in the San Francisco Bay Area as a doctoral student in molecular biology and one whirlwind year in science-writing boot camp in Santa Cruz.
In California, I wrote for the Stanford University press offices, the Multiple Sclerosis Discovery Forum, and the Salinas Californian newspaper. I grew up in a small town in eastern Texas, surrounded by bird song, rolling cattle fields, and lanky pine trees. When I’m not exploring health tech, you will probably find me cooking or giggling over an exceptional LOLcat.
Susan Young's Stories
Technologies that can pull tumor cells from patients’ blood are giving researchers an unprecedented look at cancer.
Carrier screening can prevent disease in families, but some doubt that it can change population-level incidence of disease.
Monsanto and others look to RNA interference to fight widespread bee-killing mites.
A mixture of three cell types self-assembles into a liver bud that can be seen with the naked eye.
A thin probe of carbon nanotubes can measure small electrical changes inside a neuron.
The decision should reduce uncertainty in the field of molecular diagnostics.
From millions of random mutations, scientists identify a virus that could make gene therapy for inherited retinal diseases safer and more effective.
Mind-control optogenetics experiments in mice give new clarity to the neural circuitry that underlines repetitive behaviors.
A Boston startup wants to bring smart analytics to critical care in order to help doctors spot and treat at-risk patients.