Medical Startup Scrubs Operating Room Data to Train Better Surgeons

Tweezers carefully poised, the surgeon gingerly attempts to extract the patient’s funny bone. But the hand slips — buzz! — and another round of the classic board game Operation is lost. At best, the game, which first went on sale in the 1960s, might identify children with the steady grip and hand-eye coordination of a Read article >

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Noisy Data: Nigerian Startup Aims to Save Lives by Analyzing Infant Cries with AI

There’s more to an infant’s cry than what meets the ear. A Nigerian startup is seeking potentially life-saving information in those wails using AI. It’s developing a deep learning model to enable hospitals in developing nations to use this data to improve treatment of birth asphyxia, one of the most common — and deadly — Read article >

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Putting Biopsies Under AI Microscope: Pathology Startup Fuels Shift Away from Physical Slides

Hundreds of millions of tissue biopsies are performed worldwide each year — most of which are diagnosed as non-cancerous. But for the few days or weeks it takes a lab to provide a result, uncertainty weighs on patients. “Patients suffer emotionally, and their cancer is progressing as the clock ticks,” said David West, CEO of Read article >

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Saving Lives, Supporting Families: Four Cancer-Care Groups Receive $200K in NVIDIA Grants

Lacking insurance, Gaby, from Brooklyn, New York, fell behind in having regular mammograms, which can be lifesavers. But after spotting a mobile care clinic run by the American-Italian Cancer Foundation, which offers free scans, she had the chance to get one. “I’m now exactly the age my mother was when she was diagnosed with breast Read article >

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An AI for an Eye: How Deep Learning May Prevent Diabetes-Induced Blindness

There are many ways diabetes can be debilitating, even lethal. But one condition caused by the disease comes on without warning. A patient “can go to sleep one night and wake up the next morning and be legally blind, with no previous symptoms,” said Jonathan Stevenson, chief strategy and information officer for Intelligent Retinal Imaging Read article >

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How Deep Learning Can Help Doctors Navigate the Contours of Radiation Therapy

Contouring isn’t just for Kim Kardashian’s cheekbones. Doctors use a process of the same name to determine high-precision radiation therapy treatments. Once the size and shape of tumors are identified in medical images, contouring helps them design target volumes for radiation therapy. Researchers from the University of Texas MD Anderson Cancer Center, in Houston, are Read article >

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What’s in Your Genome? Startup Speeds DNA Analysis with GPUs

Anyone with a hundred bucks and a saliva sample can get some intriguing genetic insights by mail-order. But using DNA for research or clinical purposes requires the whole genome — which means sequencing and processing all 3 billion base pairs which reside within our chromosomes. The cost to do that has dropped dramatically over the Read article >

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Sounding the Alarm: How Deep Learning Helps Doctors Detect Pediatric Sepsis

In a high-stakes environment like the intensive care unit, there are more pressing tasks for a nurse than data entry — prompting hospitals to use devices that automatically measure patients’ vital signs. These time-saving machines create far more patient data than manual entry ever could. And they present an opportunity for AI to mine the Read article >

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Counting Craters: Come On, Come On, Look a Little Closer — at Solar System History

The moon has captured humans’ imaginations for thousands of years — but an astronomical number of questions remain about its history, and the history of our solar system. Some of the answers lie in the craters that pockmark the moon’s surface. And with deep learning, scientists are able to see these craters more clearly than Read article >

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Tumor Tracking: How a Neural Network Compares Brain MRIs In a Flash

Binge-watching three seasons of “The Office” can make you feel as if your brain has turned into mush. But in actuality, the brain is always pretty mushy and malleable — making neurosurgery even more difficult than it sounds. To gauge their success, brain surgeons compare MRI scans taken before and after the procedure to determine Read article >

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