Biomarkers

AI biomarker identifies aortic stenosis development, progression

April 9, 2024 - A multi-institutional team of researchers has identified an artificial intelligence (AI)-based video biomarker capable of helping clinicians more accurately understand which patients are likely to develop or have worsening aortic stenosis, according to a new study published in JAMA Cardiology. Aortic stenosis – the narrowing of the aortic...

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Computational model uses biomarkers to predict Alzheimer’s progression

by Shania Kennedy

Researchers from Duke University School of Medicine and Pennsylvania State University have demonstrated that a personalized model using individual biomarker data can accurately forecast Alzheimer's...

Deep Learning Model Accurately Detects, Predicts Alzheimer’s Disease

by Shania Kennedy

A research team from West Virginia University (WVU) has developed a deep learning model capable of detecting and predicting Alzheimer's disease using metabolic biomarkers. The researchers sought...

Machine Learning, ‘Liquid Biopsy’ to Bolster Early Cancer Detection

by Shania Kennedy

Researchers from City of Hope and its precision medicine research organization, the Translational Genomics Research Institute (TGen), have developed a machine learning (ML) approach that could...

Pancreatic Cancer Prediction Model May Reduce Unnecessary Biopsies

by Shania Kennedy

Researchers have developed and externally validated a prediction model to detect early-stage pancreatic cancer using routinely collected blood biomarkers, according to a recent study published in JAMA...

Predictive AI Biomarker for ADT Benefit in Prostate Cancer Identified

by Shania Kennedy

Researchers from University Hospitals (UH) Seidman Cancer Center have validated the first-ever predictive artificial intelligence (AI) biomarker of androgen deprivation therapy (ADT) benefit in...

Machine Learning-Aided Biomarker Analysis Predicts Parkinson’s Onset

by Shania Kennedy

Researchers from Boston University and Australia-based University of New South Wales (UNSW Sydney) developed a machine learning (ML) tool that predict Parkinson’s disease onset years before...

ML Tool Identifies Biomarkers of Neonatal Opioid Withdrawal Syndrome

by Shania Kennedy

A new study published in JAMA Network Open last week described how a machine-learning (ML) tool accurately identified a set of biomarkers for neonatal opioid withdrawal syndrome (NOWS) using newborn...

Blood Test Uses AI, Biomarkers to Identify Infant Heart Defects Before Birth

by Shania Kennedy

A study published in the American Journal of Obstetrics and Gynecology shows that a blood test, which leverages artificial intelligence (AI) and genetic biomarkers, can prenatally identify fetal...

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