Summary: New AI tools predict onset of Parkinson’s disease, heart attack risk after surgery and more information -Dlight News

Summary: New AI tools predict onset of Parkinson's disease, heart attack risk after surgery and more information

ML tool predicts onset of Parkinson’s

A research team from the University of New South Wales, along with collaborators from Boston University, have developed an AI tool that could potentially be used to predict Parkinson’s disease years before symptoms appear.

The machine learning tool called CRANK-MS (Classification and Ranking Analysis using Neural Network Geneses Knowledge from Mass Spectrometry) was used to analyze potential biomarkers for Parkinson’s in a patient’s blood.

In a study, the results of which are published in the journal ACS Central Science, blood samples from 39 patients who developed Parkinson’s up to 15 years later were analyzed and compared to blood samples from 39 matched patients who did not develop the disease.

After the research team ran CRANK-MS on the participants’ data on their blood metabolites, they found unique combinations of metabolites that could serve as early warning signs of Parkinson’s.

AI promises to prevent deaths after non-cardiac surgery

Another study has shown how data and AI can help prevent cardiovascular complications after non-cardiac surgery.

A study led by a University of Western Australia researcher evaluated data from over 24,000 participants to determine whether machine learning and data can predict cardiovascular complications of non-heart surgery, including heart attack and injury to the heart muscle, before they occur.

It was found that integrating machine learning techniques with routinely collected data before, during and after surgery could help better identify patients at highest risk of such deadly 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 supplies remote pregnancy monitoring solutions to Perth-based company JOGG

ASX-listed medical technology company HeraMED has signed its second private obstetric practice launching its remote pregnancy monitoring solutions.

In a company release, the company said it had signed an agreement with Perth-based Joondalup Obstetrics and Gynecology Group (JOGG), a provider of private and public obstetric services at Joondalup Private Hospital, Joondalup Health Campus and Fiona Stanley Hospital.

The agreement, which marks the first time JOGG has offered remote pregnancy monitoring since its inception in 2021, includes the acquisition of 120 licenses of HeraCARE digital maternity monitoring and management platform and HeraBEAT home fetal heart rate monitors.

Last year in November, HeraMED signed its first private obstetric practice, which launched HeraCARE.

Formus Labs Receives US FDA 510(k) for Hip Surgery Planning Software

New Zealand-based Formus Labs has received 510(k) clearance from the US Food and Drug Administration for its automated radiological imaging software for preoperative hip replacement planning.

Formus Hip uses AI and computational biomechanics to calculate a patient’s implant fit and create “digestible, actionable and fully interactive” 3D surgical plans.

Following FDA approval, the company will now proceed with its plan to fully enter the US market.

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