Neckepur SAS signed a licensing agreement with Assistance Publique-Hôpitaux de Paris (AP-HP) to develop an in vitro diagnostic technology to optimize the medical devices used in extracorporeal circulation. The agreement covers the rights to use a patent for a method of evaluating and optimizing the doses of drugs administered to patients admitted to the intensive care unit (ICU) who are undergoing treatment with devices such as hemofiltration, extracorporeal membrane oxygenation (ECMO), continuous hemodiafiltration, and adsorbent column circuits.
Art Medical Ltd. released data from a study which demonstrated that its Smart+ Platform can maximize feeding efficiency and improve patient outcomes by reducing both ICU length of stay and the length of time on a ventilation by approximately three days. ICU complications related to nutrition pose significant challenges in critical care.
Natus Medical Inc. entered into a definitive agreement to acquire EU-based neurophysiology solution provider Micromed Group SpA. The transaction is expected to close in early 2023, subject to regulatory approvals from the Italian Council of Ministers’ Presidency and the French Ministry of Economy and Finance. Full terms of the transaction have not been disclosed. “The idea behind this acquisition is to provide a single portfolio of neurodiagnostic and neuromonitoring products in the EU and the whole world,” Thomas Sullivan, CEO of Natus Medical, told BioWorld.
If GE Healthcare’s GM of Monitoring Solutions Neal Sandy gets his way, nursing staff will perk up and notice a newly launched wireless patient monitoring system that helps them detect patient deterioration much earlier than periodic, manual monitoring.
DUBLIN – Inotrem SA has received €45 million (US$53 million) in public funding commitments to move its Trem-1 inhibitor, nangibotide, into a phase II/III trial in COVID-19 patients who are critically ill and on ventilation.
The FDA has granted de novo authorization to Fifth Eye Inc. for its Analytic for Hemodynamic Instability (AHI), a machine learning (ML)-based, real-time indicator of patient deterioration. Commercialization of the software device, which continuously monitors patients with an electrocardiogram (ECG) for signs of deterioration, got underway on March 1.
As COVID-19 testing remains elusive in the U.S., much of the nation’s focus has started to shift to how to treat the presumed millions of patients who are already or soon to be infected with the novel coronavirus.
Swiss researchers set out to identify and analyze vital sign data that could offer a window into predicting circulatory failure, which could enable more effective prevention of catastrophic events in the ICU.
Deciding which patients should go into the intensive care unit (ICU) after surgery is a difficult call and typically made entirely at the surgeon's discretion. The result is that surgeons typically err on the side of caution by putting more post-operative patients in the ICU than necessary. To aid in better ICU decision-making, physicians at New York University Langone Hospital System (NYU Langone) developed a machine learning algorithm that combs through a patient's electronic medical record to identify relevant factors to determine if they needed the ICU after surgery.