Toggle light / dark theme

Sediment layers in rock or tree rings can hold clues to what the environment was like at different times in the past – and the same idea may even apply to your own teeth. Scientists at New York University have found that the material that makes up tooth roots preserves a lifelong record of stresses on the body, such as childbirth, illness, and even prison time.

While most of a tooth doesn’t grow once it’s popped up in your jaw, the tissue around the roots do. Known as cementum, this stuff regularly adds new layers after the tooth surfaces. And for this study, the researchers investigated the hypothesis that major physiological events would leave their mark in these layers.

To test the idea, the team examined 47 teeth from 15 different people, between the ages of 25 and 69. The life histories of all of these people were known, including things like whether they’d given birth, had major illnesses or even moved from rural to urban areas. Crucially, they also knew what ages these events had occurred.

Four years ago, mathematician Vlad Voroninski saw an opportunity to remove some of the bottlenecks in the development of autonomous vehicle technology thanks to breakthroughs in deep learning.

Now, Helm.ai, the startup he co-founded in 2016 with Tudor Achim, is coming out of stealth with an announcement that it has raised $13 million in a seed round that includes investment from A.Capital Ventures, Amplo, Binnacle Partners, Sound Ventures, Fontinalis Partners and SV Angel. More than a dozen angel investors also participated, including Berggruen Holdings founder Nicolas Berggruen, Quora co-founders Charlie Cheever and Adam D’Angelo, professional NBA player Kevin Durant, Gen. David Petraeus, Matician co-founder and CEO Navneet Dalal, Quiet Capital managing partner Lee Linden and Robinhood co-founder Vladimir Tenev, among others.

Helm.ai will put the $13 million in seed funding toward advanced engineering and R&D and hiring more employees, as well as locking in and fulfilling deals with customers.

Epidemiologist Neil Ferguson, who created the highly-cited Imperial College London coronavirus model, which has been cited by organizations like The New York Times and has been instrumental in governmental policy decision-making, offered a massive revision to his model on Wednesday.

Ferguson’s model projected 2.2 million dead people in the United States and 500,000 in the U.K. from COVID-19 if no action were taken to slow the virus and blunt its curve.

However, after just one day of ordered lockdowns in the U.K., Ferguson is presenting drastically downgraded estimates, revealing that far more people likely have the virus than his team figured. Now, the epidemiologist predicts, hospitals will be just fine taking on COVID-19 patients and estimates 20,000 or far fewer people will die from the virus itself or from its agitation of other ailments, as reported by New Scientist Wednesday.

The rescue package contains specific measures to address the spike in unemployment claims.

“It is reasonable to expect that some, perhaps many, but not all, of these jobs will come back once we venture back into public,” Mark Hamrick, senior economic analyst at Bankrate.com, said. “One of the goals of the legislation now moving through Congress is to help many businesses survive and retain workers.”

“It’s beyond anything we have ever seen. It’s the speed that is so painful,” Swonk said.