Personalized Medicine

Machine learning approach predicts heart failure outcome risk

April 22, 2024 - 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 ejection fraction (HFrEF), according to a recent study published in the American Heart Journal. The research team indicated that risk models for HFrEF...

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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...

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...

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...

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...

Deep Learning Accurately Predicts Antihypertensive Treatment Success

by Shania Kennedy

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

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...

MD Anderson Cancer Center Launches Institute for Data Science in Oncology

by Shania Kennedy

The University of Texas MD Anderson Cancer Center recently launched its Institute for Data Science in Oncology (IDSO), which aims to transform cancer care and research through the application of...

American College of Surgeons Develops Cancer Survival Prediction Tool

by Shania Kennedy

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,...

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...

Deep Learning Tool May Support Personalized Cancer Care

by Shania Kennedy

Researchers have developed a deep learning (DL) model capable of predicting cancer-related protein fragments that may elicit an immune response, which may aid the advancement of personalized cancer...

Deep Learning Algorithm Predicts Need for Crohn’s Disease Therapy

by Shania Kennedy

A study published last month in Therapeutic Advances in Gastroenterology demonstrated that a deep learning (DL) model can predict the need for biological therapy using capsule endoscopy (CE) videos of...

ML Provides Personalized Hypertension Treatment Recommendations

by Shania Kennedy

Boston University (BU) researchers have co-developed a machine learning (ML) model designed to provide personalized hypertension treatment recommendations and assist clinicians with choosing which...

Dartmouth Launches Center for Artificial Intelligence, Precision Medicine

by Shania Kennedy

Dartmouth launched its Center for Precision Health and Artificial Intelligence (CPHAI) this week, which is set to advance interdisciplinary research into how artificial intelligence (AI) and biomedical...

Researchers Propose ChatGPT-Based Personalized Disease Burden Tool

by Shania Kennedy

In a recent article published in Cureus, researchers posited that combining ChatGPT with insights from the Global Burden of Disease study could help create an artificial intelligence (AI)-assisted...

Precision Medicine Approach May Improve Prostate Cancer Screening

by Shania Kennedy

Researchers from Stanford Medicine have developed a precision medicine approach that may help flag and separate normal variations in prostate-specific antigen (PSA) caused by genetic factors unrelated...

Cedars-Sinai Launches Center for Artificial Intelligence Research and Education

by Shania Kennedy

The Cedars-Sinai Department of Computational Biomedicine established the Center for Artificial Intelligence Research and Education (CAIRE) this week to drive innovation in artificial intelligence (AI),...

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