Scientists developed an AI system for predicting human psychosis

The Next Web January 20, 2021

A team of European scientists led by researchers from the Max Planck institute recently developed the world’s first cybernetic system for predicting psychosis onset in high-risk patients. According to the NIH, about three percent of the general population (data is US-specific) will experience psychosis in their lifetimes. To put that in perspective, the odds you’ll be stung by a bee are approximately six million to one. Unfortunately, predicting psychosis in high-risk patients is a difficult task. The current paradigm requires intensive diagnosis by trained professionals at a specialized medical facility, something most of the world’s population lacks immediate access to.…

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Categories: Technology

Tagged: Artificial Intelligence, insights, Neural, Science, Tech

The Next Web

RCSI receives €1.3m to further develop prognostic blood test

The grant comes from Wellcome’s Psychosis Flagship, which aims to reduce the global burden of psychosis by improving diagnosis.
The post RCSI receives €1.3m to further develop prognostic blood test appeared first on Silicon Republic.

Silicon Republic February 1, 2021

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Scientists develop AI-powered ‘puff technology’ to help smokers quit

Scientists are developing an AI device that helps people quit smoking by predicting when they’ll crave a nicotine hit. The “Level” system is an onboard computer for e-cigarettes that precisely monitors vaping behavior. It’s designed to help users control their cravings or reduce the amount of nicotine they’re inhaling. Level will incorporate insights from an observational study launched today by the University of East Anglia. The research team has developed a small monitoring device that screws onto tank-based e-cigs. It then measures the number and duration of a user’s vapes, the time between each drag, and the power used per puff. This data will create a personalized… This story continues at The Next Web

The Next Web January 28, 2021

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This ‘AI doctor’ can assess skin melanoma as accurately as human dermatologists

Scientists from the University of Gothenburg have developed an algorithm that assesses the severity of skin melanoma as accurately as dermatologists. The system was developed to help doctors determine the stage that a skin cancer has reached. While patients often independently find melanomas by spotting a new mole or a change in an existing one, even dermatologists can struggle to decide whether it’s invasive or not. The researchers suspected that AI could assist them with the task. [Read: How Polestar is using blockchain to increase transparency] They classified the melanomas with a convolutional neural network (CNN), a powerful method of analyzing images that’s proven… This story continues at The Next Web

The Next Web February 15, 2021

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World’s fastest computer gives birth to tsunami-predicting AI

Scientists have used the world’s fastest supercomputer to develop an AI tool that predicts tsunami flooding in almost real-time. The system was created by researchers in Japan, one of the most seismically active areas in the world. Tsunamis have occurred so frequently in the archipelago’s history that the Japanese invented a word to describe the phenomenon: “tsu” meaning harbour, and “nami” meaning wave. In 2011, the country was hit by a devastating earthquake and tsunami that caused around 20,000 deaths and the worst nuclear distance since Chernobyl. The tragic event exposed many shortcomings in Japan’s tsunami prediction method. The new AI model was designed to… This story continues at The Next Web

The Next Web February 17, 2021

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Scientists developed an AI system for predicting human psychosis

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