Creation and prospective assessment of a machine learning model for predicting vomiting in children undergoing cancer treatment and hematopoietic cell transplantation - Takeaways - MDSpire
Coming Soon: Introducing MDSpire News. Learn more
Conexiant’s news site is now MDSpire News. Learn more

Creation and prospective assessment of a machine learning model for predicting vomiting in children undergoing cancer treatment and hematopoietic cell transplantation

  • By

  • Adam Paul Yan

  • Lin Lawrence Guo

  • Priya Patel

  • Tal Schechter

  • Santiago Eduardo Arciniegas

  • Jiro Inoue

  • Emily Vettese

  • Karim Jessa

  • Bren Cardiff

  • George A. Tomlinson

  • L. Lee Dupuis

  • Lillian Sung

  • October 31, 2025

Share

  • 1

    Vomiting significantly impacts the quality of life in pediatric cancer patients, necessitating improved prediction and management strategies.

  • 2

    Machine learning models have shown promise in predicting vomiting in adult patients, but similar efforts in pediatric oncology are limited.

  • 3

    The study developed a machine learning model using electronic health record data to predict vomiting risk in pediatric oncology and HCT patients.

  • 4

    A prospective silent trial was conducted to evaluate the model's effectiveness without impacting patient care, addressing potential biases.

  • 5

    The model aims to enhance clinical workflows and improve outcomes for pediatric patients undergoing cancer treatment and hematopoietic cell transplantation.

Original Source(s)

Creation and prospective assessment of a machine learning model for predicting vomiting in children undergoing cancer treatment and hematopoietic cell transplantation

  • by Adam Paul Yan, Lin Lawrence Guo, Priya Patel, Tal Schechter, Santiago Eduardo Arciniegas, Jiro Inoue, Emily Vettese, Karim Jessa, Bren Cardiff, George A. Tomlinson, L. Lee Dupuis, Lillian Sung

  • October 31, 2025

Related Content

Adaptive Radiation for Locally Advanced Unresectable Pancreatic Cancer

The goal of this clinical trial is to learn if Adaptive Radiation Therapy (ART) is safe and effective in treating patients with locally advanced pancreatic cancer.

  • by

  • September 4, 2026

  • 4 min
Retraction Note: Lycorine inhibits angiogenesis by docking to PDGFRα

CAR T Before Surgery Improves Glioblastoma Control in Mice

Study finds that tumor resection creates a more immunosuppressive environment and that earlier CAR T cell treatment prolongs survival

  • September 7, 2026

  • 3 min