Artificial Intelligence is getting better than humans at detecting breast cancer

Artificial Intelligence is getting better than humans at detecting breast cancer

A recent study in The Lancet Oncology showed that AI found 20 percent more cancers on mammogram screens than radiologists alone.

The Lancet Oncology

Since the early 2000s, AI systems have eliminated more than 1.7 million jobs, and that number will only increase as AI improves. Some research estimates that by 2025, AI will eliminate more than 85 million jobs.

But for all the talk about job security, AI is also proving to be a powerful tool in healthcare—specifically, cancer detection. One recently published study has shown that, remarkably, artificial intelligence was able to detect 20 percent more cancers in imaging scans than radiologists alone.

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Sarah Watts

Sarah Watts is a health and science writer based in Chicago.

Jurassic Park Without the Scary Parts: How Stem Cells May Rescue the Near-Extinct Rhinoceros

The Northern white rhinoceros Nola, the last one in the U.S. at that time in 2015, pictured here with author Jeanne Loring and Oliver Ryder (in truck), with a film crew and keepers in the San Diego Zoo's savanna. Nola sadly passed away that year.

Kel O'Neill, Jongsma + O'Neill Documentary filmmaking studio

I am a stem cell scientist. In my day job I work on developing ways to use stem cells to treat neurological disease – human disease. This is the story about how I became part of a group dedicated to rescuing the northern white rhinoceros from extinction.

The earth is now in an era that is called the "sixth mass extinction." The first extinction, 400 million years ago, put an end to 86 percent of the existing species, including most of the trilobites. When the earth grew hotter, dustier, or darker, it lost fish, amphibians, reptiles, plants, dinosaurs, mammals and birds. Each extinction event wiped out 80 to 90 percent of the life on the planet at the time. The first 5 mass extinctions were caused by natural disasters: volcanoes, fires, a meteor. But humans can take credit for the 6th.

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Jeanne Loring
Jeanne Loring is an American stem cell biologist, developmental neurobiologist, and geneticist. She is the director of the Center for Regenerative Medicine and professor at the Scripps Research Institute in La Jolla, California.
One Year In, Our Biggest Lessons and Unsolved Mysteries about COVID-19

A leading virologist reflects on the past year and the unknowns about COVID-19 that we still need to solve.

Photo by ERROR 420 📷 on Unsplash

On the one-year anniversary of the World Health Organization declaring SARS-CoV-2 a global pandemic, it's hard to believe that so much and yet so little time has passed. The past twelve months seem to have dragged by, with each day feeling like an eternity, yet also it feels as though it has flashed by in a blur.

Nearly everyone I've spoken with, from recent acquaintances to my closest friends and family, have reported feeling the same odd sense of disconnectedness, which I've taken to calling "pandemic relativity." Just this week, Ellen Cushing published a piece in The Atlantic about the effects of "late-stage pandemic" on memory and cognitive function. Perhaps, thanks to twelve months of living this way, we have all found it that much more difficult to distill the key lessons that will allow us to emerge from the relentless, disconnected grind of our current reality, return to some semblance of normalcy, and take the decisive steps needed to ensure the mistakes of this pandemic are not repeated in the next one.

As a virologist who studies SARS-CoV-2 and other emerging viruses, and who sometimes writes and publicly comments on my thoughts, I've been asked frequently about what we've learned as we approach a year of living in suspension. While I always come up with an answer, the truth is similar to my perception of time: we've learned a lot, but at the same time, that's only served to highlight how much we still don't know. We have uncovered and clarified many scientific truths, but also revealed the limits of our scientific knowledge.

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Angela Rasmussen
Dr. Angela Rasmussen uses systems biology techniques to interrogate the host response to viral infection. She has studied a huge range of viral pathogens, from the “common cold” (rhinovirus) to Ebola virus to highly pathogenic avian influenza virus to SARS-CoV-2/COVID-19. By combining current classical approaches to modeling infection and pathogenesis with sequencing technology and machine learning, Dr. Rasmussen and her colleagues and collaborators have identified new host mechanisms by which viruses cause disease.