Write an article about The new AI-powered lipid-based blood test enables earlier and less invasive breast cancer detection. (Freepik pic)
SYDNEY: Australian scientists have developed the first artificial intelligence-powered lipid-based blood test, enabling earlier and less invasive breast cancer detection, Xinhua reported.
The test is already in use in specialist clinics across Sydney and Melbourne after transitioning from the research phase in March, according to a statement from the University of New South Wales (UNSW) published on Wednesday.
Unlike traditional imaging and biopsies, which can miss tumours and carry risks, the new AI-powered blood test detects subtle molecular signals in the blood.
This allows for cancer diagnosis months or even years before symptoms appear, said UNSW associate professor Fatemeh Vafaee.
AI drives the breakthrough by analysing millions of molecular markers to detect early cancer signs, according to the expert from Vafaee Lab, a biomedical AI laboratory at UNSW.
“By integrating explainable AI techniques, we ensure the models provide not only accurate outcomes but also clinically interpretable insights, which are crucial for building trust and supporting decision-making in real-world healthcare settings,” Vafaee said.
Contributing to global efforts to make AI-driven blood tests part of standard breast cancer screening, the lab offers a valuable new option, especially for women with dense breast tissue where traditional imaging may be less effective.
The team is now developing multi-analyte tests that combine various biomarkers for more precise cancer detection across multiple types, including lung, liver, and brain tumours.
They are also exploring tests using other biofluids like urine and saliva, while working to integrate diverse data for a complete view of patient health.
in 1000-1500 words .Organize the content with appropriate headings and subheadings (h1, h2, h3, h4, h5, h6), Retain any existing tags from
The new AI-powered lipid-based blood test enables earlier and less invasive breast cancer detection. (Freepik pic)
SYDNEY: Australian scientists have developed the first artificial intelligence-powered lipid-based blood test, enabling earlier and less invasive breast cancer detection, Xinhua reported.
The test is already in use in specialist clinics across Sydney and Melbourne after transitioning from the research phase in March, according to a statement from the University of New South Wales (UNSW) published on Wednesday.
Unlike traditional imaging and biopsies, which can miss tumours and carry risks, the new AI-powered blood test detects subtle molecular signals in the blood.
This allows for cancer diagnosis months or even years before symptoms appear, said UNSW associate professor Fatemeh Vafaee.
AI drives the breakthrough by analysing millions of molecular markers to detect early cancer signs, according to the expert from Vafaee Lab, a biomedical AI laboratory at UNSW.
“By integrating explainable AI techniques, we ensure the models provide not only accurate outcomes but also clinically interpretable insights, which are crucial for building trust and supporting decision-making in real-world healthcare settings,” Vafaee said.
Contributing to global efforts to make AI-driven blood tests part of standard breast cancer screening, the lab offers a valuable new option, especially for women with dense breast tissue where traditional imaging may be less effective.
The team is now developing multi-analyte tests that combine various biomarkers for more precise cancer detection across multiple types, including lung, liver, and brain tumours.
They are also exploring tests using other biofluids like urine and saliva, while working to integrate diverse data for a complete view of patient health.
and integrate them seamlessly into the new content without adding new tags. Include conclusion section and FAQs section at the end. do not include the title. it must return only article i dont want any extra information or introductory text with article e.g: ” Here is rewritten article:” or “Here is the rewritten content:”