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.

People With This Rare Disease Can Barely Eat Protein.  Biotechnology May Change That.

The Brown family at the Grand Tetons (2019). Clockwise from left, Christine, Kevin, Keagan, Connor, and Kellen.

Courtesy Brown family

Imagine that the protein in bread, eggs, steak, even beans is not the foundation for a healthy diet, but a poison to your brain. That is the reality for people living with Phenylketonuria, or PKU. This cluster of rare genetic variations affects the ability to digest phenylalanine (Phe), one of the chemical building blocks of protein. The toxins can build up in the brain causing severe mental retardation.

Can a probiotic help digest the troublesome proteins before they can enter the bloodstream and travel to the brain? A Boston area biotech start up, Synlogic, believes it can. Their starting point is an E. coli bacterium that has been used as a probiotic for more than a century. The company then screened thousands of gene variants to identify ones that produced enzymes most efficient at slicing and dicing the target proteins and optimized them further through directed evolution. The results have been encouraging.

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Bob Roehr
Bob Roehr is a biomedical journalist based in Washington, DC. Over the last twenty-five years he has written extensively for The BMJ, Scientific American, PNAS, Proto, and myriad other publications. He is primarily interested in HIV, infectious disease, immunology, and how growing knowledge of the microbiome is changing our understanding of health and disease. He is working on a book about the ways the body can at least partially control HIV and how that has influenced (or not) the search for a treatment and cure.
Are Brain Implants the Future of Treatment for Depression and Anxiety?

Sarah, clinical trial participant, at an appointment with Katherine Scangos, MD, PhD, at UCSF’s Langley Porter Psychiatric Institute.

Photos: Maurice Ramirez | UCSF 2021

When she woke up after a procedure involving drilling small holes in her skull, a woman suffering from chronic depression reported feeling “euphoric”. The holes were made to fit the wires that connected her brain with a matchbox-sized electrical implant; this would deliver up to 300 short-lived electricity bursts per day to specific parts of her brain.

Over a year later, Sarah, 36, says the brain implant has turned her life around. A sense of alertness and energy have replaced suicidal thoughts and feelings of despair, which had persisted despite antidepressants and electroconvulsive therapy. Sarah is the first person to have received a brain implant to treat depression, a breakthrough that happened during an experimental study published recently in Nature Medicine.

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Stav Dimitropoulos
Stav Dimitropoulos's features have appeared in major outlets such as the BBC, National Geographic, Scientific American, Nature, Popular Mechanics, Science, Runner’s World, and more. Follow her on Facebook or Twitter @TheyCallMeStav.