Precision Medicine News

Deep learning tool predicts brain metastasis in lung cancer patients

March 13, 2024 - 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 likely to experience brain metastasis, according to research published last week in The Journal of Pathology. The researchers emphasized that brain...


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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...

Deep Learning Accurately Predicts Antihypertensive Treatment Success

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Researchers have developed a deep neural network-based model to predict the most successful antihypertensive treatment for an individual, according to a study published recently in Mayo Clinic...

UC Berkeley Launches Agile Metabolic Health, Open Platforms Initiative

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Stakeholders from the University of California (UC), Berkeley launched the Agile Metabolic Health project this week, an effort to enhance the treatment of diabetes and other metabolic disorders through...

AI Tool May Help Breast Cancer Patients Avoid Unnecessary Chemotherapy

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Researchers from Northwestern University have developed an artificial intelligence (AI) tool that may be able to spare breast cancer patients unnecessary chemotherapy treatments by using cell patterns...

AI Tool Uses Epigenetic Factors to Predict Cancer Survival Outcomes

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Researchers from the UCLA Health Jonsson Comprehensive Cancer Center have created an artificial intelligence (AI) model that can successfully predict cancer survival outcomes by analyzing epigenetic...

Machine Learning Methods May Improve Brain Tumor Characterization

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Researchers from University of Florida (UF) Health have demonstrated that a combination of machine learning (ML) and liquid chromatography-high resolution mass spectrometry (LC-HRMS) can help make...

American College of Surgeons Develops Cancer Survival Prediction Tool

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According to research presented at the American College of Surgeons (ACS) Clinical Congress 2023, a machine learning (ML) tool can accurately estimate patient-specific prognoses for thyroid,...