Related Experiment Video

Updated: Jul 9, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.8K

Machine Learning and Radiomics: Changing the Horizon of Crohn's Disease Assessment

Raseen Tariq1, Saam Dilmaghani1

  • 1Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA.

Inflammatory Bowel Diseases
|November 27, 2023
PubMed
Abstract

No abstract available in PubMed .

More Related Videos

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.3K
Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics10:17

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics

Published on: January 8, 2018

13.2K

Related Concept Videos

Drugs for Treatment of Crohn's Disease in IBD Using Immunomodulatory Agents01:29

Drugs for Treatment of Crohn's Disease in IBD Using Immunomodulatory Agents

Crohn's disease is an inflammatory bowel disorder marked by chronic inflammation of the GI tract. Various treatment strategies for Crohn's disease are employed, such as immunomodulatory agents, glucocorticoids, and biologics or anti-TNF therapy. Azathioprine (Imuran), a commonly used immunomodulatory drug for Crohn's disease, is converted in the body to mercaptopurine, which inhibits purine biosynthesis and cell proliferation. Both are utilized in severe cases of Inflammatory Bowel...
168