首页|Findings from University of Arkansas Yields New Data on Machine Learning (Predic ting Ultrasound Wave Stimulated Bone Growth In Bioinspired Scaffolds Using Machi ne Learning)
Findings from University of Arkansas Yields New Data on Machine Learning (Predic ting Ultrasound Wave Stimulated Bone Growth In Bioinspired Scaffolds Using Machi ne Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating in Fayetteville, Arkansa s, by NewsRx journalists, research stated, “For conditions like osteoporosis, ch anges in bone pore geometry even when porosity is constant have been shown to co rrelate to increased fracture risk using techniques such as dual-energy x-ray ab sorptiometry (DXA) and computed tomography (CT). Additionally, studies have foun d that bone pore geometry can be characterized by ultrasound to determine fractu re risk, since certain pore geometries can cause stress concentration which in t urn will be a source for fracture.”
FayettevilleArkansasUnited StatesN orth and Central AmericaCyborgsEmerging TechnologiesMachine LearningRisk and PreventionUniversity of Arkansas
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