Neuranics Ltd. recently raised $8 million in seed funding which is “extremely important” for the company as it looks to scale its magnetic sensing technology, which detects muscle activity without touching the skin, Noel McKenna, CEO told BioWorld. “The funds will help accelerate our go to market strategy and advance our R&D roadmap,” he said.

AI could significantly improve the value of patient recalls following mammography, but so far radiologists seem reluctant to rely on computer-aided readings. Radiologists tend to trust their own judgment – and that of their colleagues – in mammogram readings far more than AI-based diagnostics, even when the AI is much more accurate, a prospective trial analysis published in Radiology by Karolinska Institutet researchers found.

Researchers from the University of Cincinnati filed for protection of an electrochemical aptamer-based biosensor technology with improved sensitivity and longevity, which has the potential for monitoring several biomarkers over sustained periods.