Path Math: How AI Can Find a Way Around Pathologist Shortage

Ever since a Dutch cloth merchant accidentally discovered bacteria in 1676, microscopes have been a critical tool for medicine. Today’s microscopes are 800,000 times more powerful than the human eye, but they still need a person to scrutinize what’s under the lens. That person is usually a pathologist — and that’s a problem. Worldwide, there Read article >

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Hidden Figures: How AI Could Spot a Silent Cancer in Time to Save Lives

It’s no wonder Dr. Elliot Fishman sounds frustrated when he talks about pancreatic cancer. As a diagnostic radiologist at Johns Hopkins Hospital, one of the world’s largest centers for pancreatic cancer treatment, he has the grim task of examining pancreatic CT scans for signs of a disease that’s usually too advanced to treat. Because symptoms Read article >

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This Is Your Disease on Drugs: How an AI Startup Could Defeat Now Unbeatable Bugs

An aging population. Antibiotic-resistant infections. Afflictions by the hundreds that still lack a cure. The need for new medications is higher than ever, but so is the cost and time to bring them to market. Developing a new drug can cost billions and take as long as 14 years, according to the U.S. Food and Read article >

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Take Two Algorithms and Call Me in the Morning

Three, it turns out, is better than one. At least that’s how it worked for a trio of former rivals who teamed up to claim the just-announced top prize in this year’s Data Science Bowl. The fourth annual event focused on one of healthcare’s most pressing problems — the soaring cost and time needed to Read article >

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Doctors Are Superheroes Today, Superhumans Tomorrow

AI is the most important technology of our time, while early detection is the most important medical challenge of our time. Incredible breakthroughs in AI are making it possible for doctors to see disease earlier and better understand it. That’s why NVIDIA founder and CEO Jensen Huang is speaking at the World Medical Innovation Forum Read article >

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Crowning Achievement: Using Adversarial Networks to Create Customized Dental Caps

It wasn’t long ago that dental crowns were produced on assembly lines, with rows of workers engaged in the physical effort of building and shaping them. To make that process faster, more precise and, ultimately, less expensive, dental product maker Glidewell Laboratories has been building a deep learning environment for designing and manufacturing crowns, also Read article >

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Night of the Living Bacteria: How GPUs Aid Fight Against Zombie-Like Bugs

When health officials use words like “nightmare” and “apocalypse” to describe a problem, it’s probably time to pay attention. We’re in a war with antibiotic-resistant bacteria, and we’re losing. Antibiotics that saved millions of lives in the last century are increasingly powerless against a growing number of superbugs that have evolved to survive our pharmacological Read article >

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NVIDIA, Canon Medical Systems Partner to Accelerate Deep Learning in Healthcare

Healthcare represents one of the biggest opportunities in deep learning, and we’re partnering with Canon Medical Systems, Japan’s largest medical systems supplier, to develop the research infrastructure to help support it. The healthcare sector needs to analyze scientific reports from around the world, while simultaneously coordinating a variety of patient data to determine the most Read article >

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From AI to Zzzz: MIT, Mass General Aim Deep Learning at Study of Sleep Stages

Sleeplessness is a national epidemic. It’s hard to solve and complicated by how difficult it is to study. One in three U.S. adults generally don’t sleep enough, according to the Center for Disease Control and Prevention, which defines healthy sleep as more than seven hours daily. Chest straps, nasal probes and head electrodes are among Read article >

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Project Clara: NVIDIA Supercomputing Platform Redefines Medical Imaging

There are about 3 million medical imaging instruments installed around the world. With only a couple hundred thousand new ones sold each year, it would take decades to update this install base. NVIDIA’s Project Clara, a medical imaging supercomputer, renews the capabilities of these machines in place. Unveiled this week at the GPU Technology Conference, Read article >

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