Day Zero Diagnostics Inc. and Oxford Nanopore Ltd. joined forces to battle the leading cause of death in hospitals – sepsis. Combining Day Zero’s whole genome sequencing technology for pathogen identification and antimicrobial susceptibility analysis with Oxford’s nanopore-based molecular sensing technology, the companies aim to develop a culture-free diagnostic system that provides potentially life-saving identification and guidance on antimicrobial selection in mere hours.

Artificial intelligence concerns seen as a noise generator that defies easy answers

In the following years, 2023 may come to be seen in medical device circles as the year of artificial intelligence (AI), but that doesn’t mean that 2023 will be seen as the year of regulatory clarity for AI. Brendan O’Shea, senior digital regulatory affairs manager at GE Healthcare, told an audience at this year’s AI Summit that “noisy is what we’re hearing from AI” because of the range of stakeholders and the varying concerns that issue from these groups, a fact which makes it difficult for governments across the globe to draft legislation and regulation that is appropriate for this class of software.

Jeffries says M&A activity expected to rise next year

Senior leaders and investors in the health care sector expect merger and acquisition activity to continue to pick up next year but this will be corporate led rather than private equity, according to a report by global investment bank Jefferies. At the same time, many executives remained concerned about the lack of funding in the sector as it was identified as the number one threat.

Researchers develop breathing-based system for detecting and managing ADHD

Researchers from the Weizmann Institute of Science in Rehovot, Israel, are seeking – through the university’s commercial arm, Yeda Research and Development Co. Ltd. – to gain patent protection for methods and systems for detecting and treating attention deficit hyperactivity disorder (ADHD) that are based on nasal respiration parameters. The system employs a device with sensors for measuring airflow and pressure in the left and right nostrils, and the nasal respiration data collected is then processed using a pre-trained learning model to identify ADHD status.

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