Cancer Detection

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

January 30, 2024 - 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 facilitate the early detection of cancer using significantly less blood than current diagnostic tools, according to a study published recently in Science...


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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...

AI-Aided Colonoscopy May Improve Colorectal Neoplasia Detection

by Shania Kennedy

A systematic review and meta-analysis of randomized clinical trials (RCTs) published last week in eClinicalMedicine showed that artificial intelligence (AI)-aided colonoscopy may enhance the detection...

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...

AI Tool Provides Profile of Brain Cancer Genome During Surgery

by Mark Melchionna

Developed by scientists at Harvard Medical School, an artificial intelligence (AI)-based tool can help guide surgical practices by decoding the DNA of a brain tumor during surgery, providing useful...

Blood Test-Based Model Accurately Predicts Lung Cancer Death Risk

by Shania Kennedy

Researchers at the University of Texas MD Anderson Cancer Center have developed a predictive tool that combines a curated blood test and a personalized risk model to flag those at high risk of...

Risk Factors for Early Onset Colorectal Cancer in Males Identified

by Shania Kennedy

A study published recently in Cancer Prevention Research identified seven risk factors for early onset colorectal cancer in males under the age of 50, which researchers posit may improve adherence to...

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...

AI Tool Assists in Predicting the Likelihood of Pancreatic Cancer

by Mark Melchionna

Published in Nature Medicine, new research led by investigators from Harvard Medical School and the University of Copenhagen describes an artificial intelligence (AI)-based tool that aims to enhance...

AI-Assisted Ultrasound May Improve Breast Mass Triage in Low-Resource Settings

by Shania Kennedy

Researchers demonstrated that artificial intelligence (AI) can assist with the triage of patients with palpable breast masses and accurately identify cancer using images from low-cost, portable...

Artificial Intelligence Shows Potential for Diagnosing Pancreatic Cancer

by Mark Melchionna

Published in JMIR, new research found that the use of artificial intelligence (AI) to diagnose, predict risks of, differentiate, and segment pancreatic cancer led to high levels of accuracy,...

NC Health System Deploys AI to Predict, Diagnose Lung Cancer

by Shania Kennedy

North Carolina-based Atrium Health Wake Forest Baptist has implemented artificial intelligence (AI) and robotics tools to help clinicians predict and diagnose lung cancer to improve early...

AI System Detects Genetic Mutations in Cancerous Brain Tumors

by Mark Melchionna

New research published in Nature Medicine showed that an artificial intelligence (AI)-based diagnostic screening system known as DeepGlioma can use rapid imaging to detect genetic mutations in...

Google Shares Health AI, Large Language Model Research Updates

by Shania Kennedy

At Google’s annual health event, The Check Up, earlier this week, the tech company provided updates on its health artificial intelligence (AI) research, including improvements in its medical...

University of Houston AI Project Aims to Improve Lung Cancer Diagnostics

by Shania Kennedy

Researchers at the University of Houston have received a $933,812 grant from the National Cancer Institute (NCI) to develop a computational framework to support collaboration between radiology teams...

NJ Health System Leverages AI, Robotics for Early Lung Cancer Diagnosis

by Shania Kennedy

New Jersey-based AtlantiCare is deploying pre-operative artificial intelligence (AI) assessment tools and robotic bronchoscopy techniques to support early lung cancer diagnosis and treatment. The...

Digital Health, Cancer Therapeutics Accelerators Add 29 Participants

by Mark Melchionna

A recent announcement from the Texas Medical Center Innovation (TMCi) noted that various startups, researchers, and entrepreneurs will join the spring 2023 Accelerator for HealthTech cohort and the...

Deep-Learning Tool Can Predict Lung Cancer Risk Within Six Years

by Shania Kennedy

Researchers from Mass General Brigham and the Massachusetts Institute of Technology (MIT) have developed a deep-learning (DL) tool that can predict the risk of lung cancer for individuals with or...

Deep-Learning Model Identifies Lung Cancer Risk Using Chest X-rays

by Shania Kennedy

In a recent study, researchers validated a deep-learning (DL) model to predict lung cancer risk using chest radiographs and EMR data. The Centers for Disease Control and Prevention (CDC) report that...

UPMC Deploys AI-Powered Prostate Cancer Diagnostic

by Shania Kennedy

The University of Pittsburgh Medical Center (UPMC) and Ibex Medical Analytics announced a partnership focused on leveraging Ibex’s artificial intelligence (AI) solution, Galen Prostate, to...