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Related Concept Videos

Pharmacovigilance01:19

Pharmacovigilance

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Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
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In some cases, there...
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Combination Therapies and Personalized Medicine02:50

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Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
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Cancer02:18

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Cancers arise due to mutations in genes involved in the regulation of cell division, which leads to unrestricted cell proliferation. Modern science and medicine have made great strides in the understanding and treatment of cancer, including eradicating cancer in some patients. However, there is still no cure for cancer. This is largely due to the fact that cancer is a large group of many diseases.
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Targeted Cancer Therapies02:57

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The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
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Updated: Jan 9, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Using Natural Language Processing to Identify Symptomatic Adverse Events in Pediatric Oncology: Tutorial for

Clifton P Thornton1,2, Maryam Daniali3, Lei Wang3,4

  • 1Center for Pediatric Nursing Research & Evidence-Based Practice, Children's Hospital of Philadelphia, 734 Schuylkill Avenue, Philadelphia, PA, 19104, United States, 1 2674266188.

JMIR Bioinformatics and Biotechnology
|December 4, 2025
PubMed
Summary

This tutorial guides clinicians on integrating artificial intelligence (AI) into oncology research. It details steps for developing AI models and highlights the importance of interdisciplinary collaboration and institutional support for successful AI implementation in healthcare.

Keywords:
artificial intelligenceinterdisciplinary researchnatural language processingneoplasmsoncology

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Area of Science:

  • Oncology
  • Medical Informatics
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) offers significant potential to advance health care research and delivery.
  • Clinicians often face challenges incorporating AI due to a lack of training, technical barriers, and institutional constraints.

Purpose of the Study:

  • To provide a transparent account of developing an AI model for identifying adverse events in pediatric cancer therapy.
  • To outline actionable steps for clinicians interested in utilizing AI in research and practice.
  • To demystify AI research processes for oncology clinicians.

Main Methods:

  • Forming an interdisciplinary team of clinical oncology researchers and data scientists.
  • Developing a natural language processing (NLP) model to identify symptomatic adverse events.
  • Curating a large clinical dataset and establishing a digital laboratory.

Main Results:

  • The process involved overcoming learning curves in interdisciplinary collaboration, financial, and time constraints.
  • Successful development of an early-stage AI model was achieved through dedicated teamwork and institutional support.
  • Identified facilitators and barriers in AI research implementation within a clinical setting.

Conclusions:

  • Clinicians can initiate AI research by building digital labs, curating data, and developing AI models.
  • Strong institutional support and collaborative partnerships with data scientists are crucial for AI research success.
  • Sharing experiences is essential for navigating the evolving landscape of AI in oncology research and practice.