Objective: This study aimed to develop a machine learning–based model to predict recurrence risk after perianal abscess surgery, thereby supporting personalized follow-up and intervention strategies.

A method for calculating the 1/d expansion coefficients for solutions of integration by parts relations for Feynman integrals is presented. The idea is to use linear substitutions to transform these ...

Several factors can influence a person’s life expectancy if they experience recurrence of pancreatic cancer, including the location of recurrence, a person’s treatment, and their tumor grading, size, ...

The automatic rule-based recurrence detection algorithm (Auto-Recur), using notes on image reading (positron emission tomography-computed tomography [PET-CT], CT, magnetic resonance imaging [MRI]), ...

Forbes contributors publish independent expert analyses and insights. I write about fitness, health and wearable tech Algorithms have taken on an almost mythical significance in the modern world. They ...

Summary: The algorithm of follow-up in patients with head and neck cancer (HNC) has been prepared by a board of Polish Head Neck and Oncology Experts. The aim of this research is to focus on the ...

Abstract: In this paper we introduce randomized branching as a tool for parameterized approximation and develop the mathematical machinery for its analysis. Our algorithms substantially improve the ...

Regular monitoring can help identify signs of thyroid cancer recurrence. Many treatment options can help treat recurrent thyroid cancer. The thyroid uses the mineral iodine to produce essential ...