RevBio Receives a $2.2 Million Phase II NIH Grant to Further Develop the Minimally Invasive Use of TETRANITE® to Treat Complex Spine Fractures This Grant will Advance the Company’s Preclinical ...

Forbes contributors publish independent expert analyses and insights. Dr. Legatt explores the intersection of education, AI, and leadership. The clearest signal yet that artificial intelligence has ...

UW Medicine’s Harborview Medical Center in Seattle recently retrofitted hospital rooms with smart technology, and the hospital has already observed accelerated recovery for spine patients. Those ...

Melissa Sarnowski has been a game writer for over two years. While she's willing to dig into any game for an article, she heavily focuses on The Legend of Zelda, Resident Evil, Final Fantasy, and The ...

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for ...

AUSTIN, Texas — A children's hospital in Central Texas has become the first pediatric hospital in the world to start using a new robotic technology for spinal surgeries. Ascension's Dell Children's ...

CARLSBAD, CALIFORNIA, June 16, 2025 (GLOBE NEWSWIRE) -- Aurora Spine Corporation (“Aurora Spine” or the “Company”) (TSXV: ASG) (OTCQB: ASAPF), a leader in innovative spinal implant technology, is ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

Researchers have developed a deep learning model called LSTM-SAM that predicts extreme water levels from tropical cyclones more efficiently and accurately, especially in data-scarce coastal regions, ...

Artificial Intelligence has arrived. According to many media outlets, only recently. According to the facts, some 70 years ago, when the term “artificial intelligence” was first coined. AI has ...

Abstract: This paper offers a deep learning approach for semantic satellite imagery segmentation utilizing a modified U-Net architecture. Leveraging a Dubai satellite imagery dataset, the model ...