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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Brain Gain: ‘Virtual Neurons’ Power Drug Discovery for Parkinson’s, Alzheimer’s

More than 50 million people are afflicted with Alzheimer’s and Parkinson’s diseases worldwide — a figure that’s growing as the average age of the global population rises. Yet effective treatments for nervous system disorders remain elusive due to the complexity of the human brain. Drug development requires scientists to identify a molecule that interacts with Read article >

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How Subtle Medical Is Using AI to Slash Costs, Risks of Medical Scans

With $2,000, you could take a round trip to Argentina, Hong Kong or your local hospital’s MRI machine. In dramatic ways, Subtle Medical, a Silicon Valley startup, is using AI to reduce the costs of magnetic resonance imaging scans — in terms of money, time and radiation exposure. PET scans and MRIs are used to Read article >

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How Virtual Drug Discovery Tools Could Even the Playing Field Between Big Pharma and Small Biotech

While AI can lift competition and productivity, it also can act as a great leveler, putting smaller players on the same footing as goliaths. Take pharmaceutical research, for example. Large companies have the budget and resources to physically test millions of drug candidates, giving them an advantage over startups and researchers. But smaller labs can Read article >

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AI-Driven 3D Cell Modeling: “Closest Thing I’ve Ever Seen in Science to Magic”

Researchers at the Allen Institute for Cell Science, a Seattle research group founded by Microsoft co-founder Paul Allen, have created the first predictive 3D model of a live human cell. Using the model, scientists can digitally visualize and even manipulate cell behavior on a computer screen. Called the Allen Integrated Cell, the model is the Read article >

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Brain Power: How AI Can Head Off Brain Damage

Two million cells a minute. That’s how quickly brain damage happen when the cells get no oxygen in a stroke or in some brain injuries. Both can have tragic consequences — paralysis, memory loss, speech difficulties and even death. But doctors can’t start treatment without an initial diagnosis, and that requires reading a CT scan Read article >

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Making Ultrasounds Ultra-Speedy with Deep Learning

Abdominal ultrasound tests for organ abnormalities haven’t changed much in the past decade, with a doctor moving a wand over the patient’s abdomen to gaze at blurry images. But the process could get accelerated by a thousand times with improved accuracy, based on deep learning work by U.S. researchers. Tests typically take around half an Read article >

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How AI and Deep Learning Will Enable Cancer Diagnosis Via Ultrasound

Viksit Kumar didn’t know his mother had ovarian cancer until it had reached its third stage, too late for chemotherapy to be effective. She died in a hospital in Mumbai, India, in 2006, but might have lived years longer if her cancer had been detected earlier. This knowledge ate at the mechanical engineering student, spurring Read article >

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GPUs Help Dengue Fever Researchers Slow Time

Nicknamed “breakbone fever,” illnesses caused by the dengue virus are not only as painful as they sound, but also occur in hundreds of millions of people per year, killing about 20,000 annually. By using NVIDIA Tesla GPUs, however, a research team at Colorado State University is one step closer to preventing the replication of the Read article >

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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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