Precision Medicine News

Computational models forecast pediatric heart valve leakage

April 24, 2024 - Researchers from the University of Oklahoma (OU) have developed computational models designed to predict heart valve leakage in children and help guide surgical decision-making. These tools identify the shape of a child’s valves, possible weak spots and how blood moves through the valves, which may allow clinicians to forecast the future...

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Machine learning approach predicts heart failure outcome risk

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Researchers from the University of Virginia (UVA) have developed a machine learning tool designed to assess and predict adverse outcome risks for patients with advanced heart failure with reduced...

Deep learning tool may advance precision medicine approaches

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Researchers from Clemson University have developed a deep learning tool to better understand how gene-regulatory network (GRN) interactions impact individual drug response, according to a study...

Computational model uses biomarkers to predict Alzheimer’s progression

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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...

Machine learning approach may help tailor precision medicine treatments

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A research team from Arizona State University has developed a machine learning (ML) model capable of predicting whether a patient’s immune system will recognize pathogens and other foreign cells,...

MRI-based prostate cancer risk calculators prone to underprediction

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New research published in JAMA Network Open shows that magnetic resonance imaging (MRI)-based risk calculators can predict prostate cancer risk among adults in Europe and North America with some...

Deep learning tool predicts brain metastasis in lung cancer patients

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A research team from Washington University School of Medicine in St. Louis has developed a deep learning (DL)-based approach to help predict which patients with non-small cell lung cancer (NSCLC) are...

Mayo Clinic develops novel AI class to advance cancer research, care

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Mayo Clinic researchers have developed a new class of artificial intelligence (AI) – known as hypothesis-driven AI – to advance oncology research, according to a study published recently in...

Mount Sinai to develop sleep apnea outcome risk prediction models

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Researchers from Mount Sinai have been awarded a four-year, $3 million grant from the National Heart, Lung, and Blood Institute of the National Institutes of Health (NIH) to develop artificial...

Artificial Intelligence Method Enables Data Mining from Pathology Reports

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Cedars-Sinai researchers successfully utilized artificial intelligence (AI) to make pathology reports machine-readable, which could improve cancer patient recruitment in clinical trials. The research...

275 Million New Genetic Variants Identified in “All of Us” Dataset

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Researchers have identified over 275 million previously unreported genetic variants within the National Institutes of Health’s All of Us Research Program dataset, which may provide...

Precision Medicine Tool May Personalize Pediatric Cancer Treatment

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Researchers from University of Utah Health have developed a precision medicine tool to provide insights into how medications can best be used in pediatric cancer populations. Drug dynamics, or...

AI Provides Personalized Treatment Strategies for Esophageal Cancer

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A research team from the University of Texas at Arlington (UTA) has developed an algorithm to provide optimal personalized treatment options for esophageal cancer patients, according to a January study...

What Are the Benefits of Predictive Analytics in Healthcare?

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Predictive analytics in healthcare plays a major role in improving care delivery and patient outcomes. By leveraging historical data, this type of analytics allows health systems to gauge what’s...

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

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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...

Artificial Intelligence Models May Enhance Immunotherapy Treatments

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Researchers from Cleveland Clinic and IBM have found that artificial intelligence (AI) models can help provide insights into how antigen peptides interact with immune cells, which could be used to...

Precision Medicine Tool May Enhance Pancreatic Cancer Outcome Prediction

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The use of a precision medicine tool designed by Cedars-Sinai researchers has led to the development of a blood test that outperforms the only United States Food and Drug Administration (FDA)-approved...

Predictive Models for Personalized Medicine Have Limited Generalizability

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Yale researchers have found that the predictive algorithms used to forecast treatment efficacy and guide personalized medicine efforts have limited effectiveness when generalized to patient cohorts...

Machine Learning Model Predicts Individual Risk for Multiple Myeloma

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Researchers have developed an individual risk prediction model for multiple myeloma, which could significantly enhance prognosis and treatment, according to a study published this week in the Journal...

Precision Pathology Artificial Intelligence May Improve Cancer Treatment

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Researchers from the Perelman School of Medicine at the University of Pennsylvania have developed an artificial intelligence (AI)-based medical imaging technique capable of analyzing the gene activity...

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