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...
Researchers have demonstrated that a risk-based lung cancer screening model may reduce racial and ethnic disparities and improve screening efficiency compared to national lung cancer screening...
Researchers at Johns Hopkins Medicine have developed a machine learning (ML) tool capable of estimating the percent necrosis (PN)—the percentage of a tumor that is considered “dead”...
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,...
Researchers from the University of North Carolina (UNC) Department of Surgery, the Joint UNC-North Carolina State University (NCSU) Department of Biomedical Engineering, and the UNC Lineberger...
Researchers have developed and externally validated a prediction model to detect early-stage pancreatic cancer using routinely collected blood biomarkers, according to a recent study published in JAMA...
Microsoft and healthcare technology company Paige have launched a partnership to create the world’s largest image-based artificial intelligence (AI) models for digital pathology and...
A machine learning (ML) model can automatically predict esophageal adenocarcinoma (EAC) and gastric cardia adenocarcinoma (GCA) three years before a formal diagnosis, according to a study published...
In a study recently published in JAMA Network Open, researchers have externally validated a machine learning (ML) model designed to predict six-month mortality risk for patients with advanced cancer...
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...
Researchers from University Hospitals (UH) Seidman Cancer Center have validated the first-ever predictive artificial intelligence (AI) biomarker of androgen deprivation therapy (ADT) benefit in...
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...
The United States Department of Veterans Affairs (VA) has launched a new study in which researchers from five VA medical centers will work to develop an artificial intelligence tool that can predict...
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...
Researchers evaluating an artificial intelligence (AI) model’s ability to estimate prostate cancer extent and define focal treatment margins for tumors demonstrated that the model outperformed...
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...
Researchers at the Johns Hopkins Convergence Institute and the Johns Hopkins Kimmel Cancer Center have developed a machine learning (ML) model capable of identifying molecular interactions among the...
Researchers from Mayo Clinic demonstrated that an automated deep learning (DL) tool could help improve radiation therapy planning for patients with head and neck cancer, according to a validation study...
Sylvester Comprehensive Cancer Center, part of University of Miami Health System (UHealth), has been selected for membership in a global genomic data consortium supporting the American Association for...
Researchers from the University of Texas at San Antonio (UTSA), UT Health San Antonio, and the University of Pittsburgh have developed a generative artificial intelligence (AI) tool to improve adaptive...
