A novel algorithm based on patient-reported outcome questionnaires stratified patients by disease complexity and effectively identified those at a higher risk of having an acute care visit. Gauging ...

Researchers at the Centre for Genomic Regulation (CRG) have discovered hundreds of potential new cancer driver genes. The findings, published in the journal Nature Communications, significantly ...

We previously developed and validated informatic algorithms that used International Classification of Diseases 9th revision (ICD9)–based diagnostic and procedure codes to detect the presence and ...

Scientists from the University of Cambridge and their collaborators have developed an algorithm that identifies unique patterns caused by insertions and deletions in tumor DNA. Details of the ...

Two new advanced predictive algorithms use information about a person's health conditions and simple blood tests to accurately predict a patient's chances of having a currently undiagnosed cancer, ...

When cancer spreads, tiny amounts of cells can break away from tumors and circulate in the bloodstream. A liquid biopsy is a means to detect the presence of cancer by detecting these cancer cells ...

Scientists have created a comprehensive tool for predicting an individual's risk of developing prostate cancer, which they say could help ensure that those men at greatest risk will receive the ...

In pancreatic cancer, knowing if there is metastasis is key to deciding whether to operate or not. Nowadays, a significant number of patients undergo unnecessary invasive surgeries because their ...

The first computer algorithm capable of identifying which tumor cells are driving aggressive cancer growth has been developed by Cancer Research UK-funded scientists from UCL and The Francis Crick ...

Using publicly available translation tables along with clinician and other expertise, we updated the algorithms to include ICD10 codes as additional input variables. We evaluated the performance of ...

The predicted protein structure of FNBP1, one of the potential cancer-driving genes. The study predicts that inclusion of the exon (in yellow) helps cancer cells grow and spread. Researchers at the ...