ML tool predicts onset of Parkinson’s disease
A research team from the University of New South Wales, with collaborators from Boston University, has developed an AI tool that could potentially be used to predict Parkinson’s disease years before the disease. appearance of the first symptoms.
The machine learning tool called CRANK-MS (Classification and Ranking Analysis using Neural network generates Knowledge from Mass Spectrometry) was used to analyze potential biomarkers of Parkinson’s disease in a patient’s blood.
In a study, the results of which were published in the journal ACS Central Science, blood samples from 39 patients who developed Parkinson’s disease up to 15 years later were analyzed and compared to blood samples from 39 matched patients who did not develop disease.
After running CRANK-MS on participants’ data on their blood metabolites, the research team found unique combinations of metabolites that could serve as warning signs of Parkinson’s disease.
AI shows promise for preventing deaths after non-cardiac surgery
Another study showed how data and AI can help prevent cardiovascular complications after non-cardiac surgeries.
A study led by a researcher at the University of Western Australia assessed data from more than 24,000 participants to determine whether machine learning and data could predict cardiovascular complications from non-cardiac surgery, including heart attacks and heart muscle damage, before they happen.
He found that integrating machine learning techniques with routinely collected data before, during and after surgery could help better identify patients most at risk of having such life-threatening complications.
“Further work is planned to refine these methods and integrate them into routine care,” said Graham Hillis, professor of medicine at UWA and chief of cardiology at Royal Perth Hospital.
HeraMED to provide remote pregnancy monitoring solutions to Perth-based JOGG
ASX-listed medical technology company HeraMED has signed its second private obstetrician practice adopting its remote pregnancy monitoring solutions.
In a corporate statement, the company said it has signed a contract with Perth-based Joondalup Obstetrics and Gynecology Group (JOGG), a provider of private and public obstetric services through Joondalup Private Hospital, Joondalup Health Campus and Fiona Stanley Hospital.
The contract, which represents the first time JOGG has offered remote pregnancy monitoring since its launch in 2021, is for the acquisition of 120 licenses of the HeraCARE digital maternity monitoring and management platform and frequency monitors HeraBEAT Home Fetal Heart Rate.
Last year, in November, HeraMED signed its first private obstetrician practice which deployed HeraCARE.
Formus Labs Obtains US FDA 510(k) for Hip Surgery Planning Software
New Zealand-based Formus Labs has obtained 510(k) clearance from the US Food and Drug Administration for its automated X-ray image processing software for preoperative hip replacement planning.
Formus Hip uses AI and computational biomechanics to calculate a patient’s implant fit and generate “digestible, actionable and fully interactive” 3D surgical plans.
Following FDA clearance, the company will now pursue its plan to fully enter the US market.