Precision Medicine

Deep learning tool may advance precision medicine approaches

April 19, 2024 - 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 published recently in Nature Biotechnology. GRNs “map the complex interactions between genes, regulatory elements and proteins, holding the key to...

Read More


More Articles

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...

Machine learning approach may help tailor precision medicine treatments

by Shania Kennedy

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,...

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

by Shania Kennedy

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...

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

by Shania Kennedy

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

by Shania Kennedy

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

by Shania Kennedy

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...

Artificial Intelligence Models May Enhance Immunotherapy Treatments

by Shania Kennedy

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

by Shania Kennedy

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

by Shania Kennedy

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

by Shania Kennedy

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

by Shania Kennedy

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...

UC Berkeley Launches Agile Metabolic Health, Open Platforms Initiative

by Shania Kennedy

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

by Shania Kennedy

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

by Shania Kennedy

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

by Shania Kennedy

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...

Emory University Establishes Empathetic AI for Health Institute

by Shania Kennedy

Emory University will launch the Emory Empathetic AI for Health Institute (Emory AI.Health) later this month, which will support the development of artificial intelligence (AI) and predictive analytics...

Washington University in St. Louis Launches AI for Health Institute

by Shania Kennedy

The McKelvey School of Engineering at Washington University in St. Louis has established the AI for Health Institute, which will bring together clinical researchers and artificial intelligence experts...

“All of Us” Program Launches Center for Linkage and Acquisition of Data

by Shania Kennedy

The National Institutes of Health’s All of Us Research Program awarded $30 million to the University of Colorado Anschutz Medical Campus (CU Anschutz) and its partners to establish the new Center...

Precision Medicine Tool May Accurately Predict Bariatric Surgery Outcomes

by Shania Kennedy

Researchers from the University at Buffalo (UB) have demonstrated that a tool originally designed to predict a patient’s risk level for various addictions using genetic and psychosocial factors...

Recent Articles