London, Ontario-based Deep Breathe Inc. filed for protection of a wearable ultrasound sensor that is used to obtain ultrasound data, and digital ultrasound images are processed using a machine learning model to predict the probability of lung sliding and detection of pneumothorax (collapsed lung) if lung sliding is absent or deem it likely if lung sliding is present.

Researchers from the University of Chicago and Northwestern University have filed for protection of an mobile application to track individualized patient needs, engagement in continuous positive airway pressure machine use, and the correlation of risk behaviors to determine sleep apnea treatment progress.

Dornier Medtech launched a first-of-its-kind artificial intelligence tool called Urogpt to support patients with kidney stones. Developed in collaboration with leading urologists, Urogpt marks a milestone in the company's commitment to leveraging digital innovation to empower kidney stone sufferers through patient-first solutions. The app provides urology patients with access to on-demand advice and actionable insights that inform and reassure users when navigating the complexities of their condition.

A little over two months after the granting of its very first patent which described computer-based systems for diagnosing psoriasis, Belletorus Corp. welcomed the publication of two continuation-in-part child filings on similar such systems for the diagnosis of eczema and determining the severity of skin diseases such as psoriasis, eczema and skin cancer.

“In an impressive eight-month timeline,” South Korea’s Lunit Inc. completed the $193 million (AU$292 million) acquisition of Volpara Health Technologies Ltd. to globally advance artificial intelligence (AI)-based cancer care.

As the average cost of new drug R&D continues to skyrocket, the perception around using artificial intelligence (AI) as a tool to boost drug discovery is changing. “Developing new AI-based drugs is a difficult task, not only for Korea but also for countries with leading AI technology,” Hyeyun Jung, principal researcher of Korea Health Industry Development Institute’s Center for Health Industry Policy, told the audience at the Bio Korea meeting on May 9. “But there is a change in perception; [namely that] applying AI to new drug development is not an option but a necessity.”

Imaging is the number one way physicians track cancer progression and burdens within neurology and cardiology, but the ability to take imaging information and interact with it to make better decisions is becoming ever more complicated.

As the average cost of new drug R&D continues to skyrocket, the perception around using artificial intelligence (AI) as a tool to boost drug discovery is changing. “Developing new AI-based drugs is a difficult task, not only for Korea but also for countries with leading AI technology,” Hyeyun Jung, principal researcher of Korea Health Industry Development Institute’s Center for Health Industry Policy, told the audience at the Bio Korea meeting on May 9. “But there is a change in perception; [namely that] applying AI to new drug development is not an option but a necessity.”

The U.K. Medicines and Health Care Products Regulatory Agency (MHRA) is among the regulators across the globe that are scrambling to keep pace with artificial intelligence (AI) in medical devices, releasing an April 30, 2024, paper on its own approach. One of the key considerations in this paper is that MHRA expects to up-classify some AI-enabled device software functions in its ongoing regulatory revamp, a prediction that suggests a more stringent premarket path for these products in the years ahead.

The U.K. National Institute for Health and Care Excellence has posted an early value assessment review of digital technologies for the management of chronic obstructive pulmonary disease, giving the conditional nod to only one technology — the Mycopd app by London-based My Mhealth Ltd.