Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

301
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
301
Drug Discovery: Overview01:26

Drug Discovery: Overview

8.1K
Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
8.1K
Factors Influencing Drug Absorption: Disease States and Pharmacology01:25

Factors Influencing Drug Absorption: Disease States and Pharmacology

593
Multiple disease states can significantly influence the oral drug absorption process by affecting blood flow and the functionality of the gastrointestinal (GI) system. Various GI diseases, including conditions that alter GI motility, such as diarrhea, decreased acid secretions (achlorhydria), and infections, have been associated with reduced drug absorption.
Substances such as alcohol and specific drugs, including antineoplastics, can also negatively impact drug absorption. For instance,...
593
Drug Nomenclature01:17

Drug Nomenclature

1.8K
During the development of a new pharmaceutical, the manufacturer initially assigns a code name to the drug. Once approved, the drug receives a United States Adopted Name (USAN)—a generic, nonproprietary designation. Upon being listed in the United States Pharmacopeia, this nonproprietary name becomes the drug's official name. Additionally, the manufacturer assigns a proprietary name or trademark, which serves as the brand name under which the drug is marketed. It is worth noting that...
1.8K
Pharmacovigilance01:19

Pharmacovigilance

908
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.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
908
Cardiovascular Drugs: Classification based on Therapeutic Indications01:18

Cardiovascular Drugs: Classification based on Therapeutic Indications

2.9K
Cardiovascular diseases, encompassing a range of conditions, can significantly affect the heart's operations and the overall circulatory system. These conditions impair the heart's ability to pump blood, leading to a deficit in oxygen supply to crucial organs. Anomalies in the heart's electrical system, known as arrhythmias, can cause heartbeats to accelerate or slow down. Usually, heart rates increase during physical activity and decrease while resting or sleeping. However,...
2.9K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same journal

Strategic Planning for a Digital Health Innovation Hub at a Saudi Academic Medical Center: Qualitative Case Study.

JMIR formative research·2026
Same journal

enDigital Postpartum Support for Early Risk Identification Among Postpartum Women: Formative Randomized Evaluation and Exploratory Predictive Modeling Study.

JMIR formative research·2026
Same journal

VISUCHIR 2024 Ecological Benchmarking of French Private Centers Using a Perioperative Digital Therapeutic: Descriptive Early-Adopter Comparison.

JMIR formative research·2026
Same journal

Real-Time, Objective Assessment of Facial Paralysis Using a Mobile Tool (FaceADE): Feasibility Case-Control Study.

JMIR formative research·2026
Same journal

Modeling Short-Term Symptom Changes and Behavioral Subtypes of Depression and Anxiety in the General Population: Observational Study Using Smartphone Data.

JMIR formative research·2026
Same journal

Nonverbal AI-Based Communication Robot for Staff in Disaster-Affected Care Facilities: Exploratory ABAB Intervention Study.

JMIR formative research·2026

Related Experiment Video

Updated: Jul 26, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

332

Identifying Patient Populations in Texts Describing Drug Approvals Through Deep Learning-Based Information

Aline Gendrin1, Leonidas Souliotis1, James Loudon-Griffiths1

  • 1AstraZeneca, Cambridge, United Kingdom.

JMIR Formative Research
|June 22, 2023
PubMed
Summary

We developed a natural language processing algorithm to extract oncology drug approval details, improving information retrieval for subject matter experts. This automation aids in understanding patient populations and clinical trials, accelerating research in a dynamic field.

Keywords:
BERTNLPalgorithmartificial intelligencecancerclassificationdata extractiondata miningdeep-learningdevelopmentdrug approvalfree textinformation retrievalline of therapymachine learningnatural language processingoncologypharmaceuticpharmacologypharmacystage of cancertext extractiontext miningunstructured data

More Related Videos

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.2K
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.7K

Related Experiment Videos

Last Updated: Jul 26, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

332
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.2K
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

1.7K

Area of Science:

  • Oncology
  • Computational Biology
  • Natural Language Processing

Background:

  • Keeping up with new drug approvals is challenging due to the rapid pace of pharmaceutical development.
  • Accurate and efficient data visualization is crucial for understanding the drug market landscape.
  • Automated information extraction can significantly aid subject matter experts by reducing errors and saving time.

Purpose of the Study:

  • To semiautomate the extraction of disease population data from oncology drug approval descriptions.
  • To extract line of therapy, cancer stage, and supporting clinical trials for 6 selected drug targets.
  • To enhance the searchability of drug information and related project sources.

Main Methods:

  • Fine-tuning Bidirectional Encoder Representations from Transformers (BERT) deep learning models for specific extraction tasks.
  • Implementing and comparing rule-based text mining approaches against deep learning models.
  • Manually curating results by subject matter experts to refine and retrain models.

Main Results:

  • Deep learning models achieved 61% (line of therapy) and 56% (cancer stage) accuracy for classification tasks.
  • Named entity recognition for trial identification yielded an F1-score of 87%.
  • Rule-based methods showed 60% and 74% accuracy for line of therapy and cancer stage, respectively.

Conclusions:

  • A natural language processing algorithm was developed to assist experts in extracting critical information from drug approvals.
  • The semiautomated system accelerates information retrieval and supports deeper analysis in oncology.
  • This tool helps navigate the complexities of drug approvals and clinical trial data.