Over the past 20 years, the diagnosis of esophageal adenocarcinoma - the most common form of esophageal cancer - has doubled in the US and now stands at roughly 16,500 new cases each year. This dramatic increase is believed to be related to an increased incidence of gastroesophageal reflux disease (GERD) and obesity. Physicians agree that to slow the increase in this deadly cancer, detection at its earliest stages is critical. Unfortunately, the standard tools available to do this are less than ideal. NinePoint Medical has developed technology designed to detect precursors to esophageal cancer in real time, in vivo, using near-infrared light and complex computing algorithms.
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Medtronic announced it received expanded MRI labeling for its DBS systems, which is critical, given that almost 70% of all DBS-eligible patients will likely need an MRI at some point in their care, says Ashwini Sharan, CMO for Medtronic Neuromodulation.
In this episode, Medtech Insight reporter Natasha Barrow speaks to LungLife AI CEO Paul Pagano. Lung Life AI is a US-based AIM-listed medical technology company that has developed a liquid biopsy test for the early detection of lung cancer called Lung LB. Pagano runs through the highlights of Lung Life AI journey to date and its future ambition for a strategic partnership. He also provides advice to similar diagnostic companies seeking reimbursement andcompliance with the US FDA Lab Developed Test ruling.
An interactive look at recent executive-level company changes and promotions in the medical device and diagnostics industries.
The firms recently announced they will operate as combined company LXE Hearing marketing Eargo’s namesake line and hearX’s Lexie brands. Eargo majority owner Patient Square Capital added $100m to its investment.
AI systems used in healthcare are vulnerable to adversarial cyberattacks, which are a growing concern, said Atif Azad, a professor of AI at Birmingham City University. Azad’s research group has developed a method that trains AI to become more resilient to cyber threats through the use of random image adjustments.
