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

Classification of Systems-I01:26

Classification of Systems-I

186
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
186
Classification of Systems-II01:31

Classification of Systems-II

146
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
146
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.0K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.0K
Heuristics01:21

Heuristics

92
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
92
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

554
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
554
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

107
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
107

You might also read

Related Articles

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

Sort by
Same author

JAKPOT Prediction Rule for Erythrocytosis: External Validation and Cost-Effectiveness Analysis.

American journal of hematology·2026
Same author

New Jersey State Cancer Registry Data Ascertainment for Melanoma Research Studies.

Journal of registry management·2026
Same author

Survival assessment of warfarin and international normalized ratio exposure in cancer-associated venous thromboembolism: Veterans Affairs healthcare system-based analysis.

Haematologica·2026
Same author

Fairness aware subset selection for advancing equity in skin cancer detection.

Journal of the American Medical Informatics Association : JAMIA·2026
Same author

Deep Learning Based Approach for Lossless ECG Compression.

Cardiovascular engineering and technology·2026
Same author

MRI-based patient selection for active surveillance in prostate cancer using U-Found: a generalized deep learning model.

Cancer imaging : the official publication of the International Cancer Imaging Society·2026
Same journal

Widening Health Inequality and Causal Metabolic Drivers in Global Colorectal Cancer: A Multi-Dimensional Study.

Cancer informatics·2026
Same journal

GFAP-Dependent Transcriptional Dynamics and Cellular Heterogeneity in Primary, Recurrent, and Grade III Gliomas.

Cancer informatics·2026
Same journal

Translating Data Into Clinical Tools: An Integrative Strategy for Precision Biomarker Identification in Soft Tissue Sarcoma Diagnosis and Prognosis.

Cancer informatics·2026
Same journal

The MAPK Pathway Coordinates an Immunosuppressive Microenvironment in Colorectal Cancer: A Single-Cell Guided Prognostic Model.

Cancer informatics·2026
Same journal

Multi-Scale Cross-Attention Multiple Instance Learning Network for Automated Classification of Colorectal Polyps.

Cancer informatics·2026
Same journal

LEPR Contributes to Lung Squamous Cell Carcinoma: Insights From Mendelian Randomization and Experimental Studies.

Cancer informatics·2026
See all related articles

Related Experiment Video

Updated: Jul 4, 2025

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

42.6K

An Intelligent Search & Retrieval System (IRIS) and Clinical and Research Repository for Decision Support Based on

David J Foran1, Wenjin Chen1, Tahsin Kurc2

  • 1Center for Biomedical Informatics, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.

Cancer Informatics
|February 7, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel multi-modal Clinical & Research Data Warehouse (CRDW) for oncology research. It integrates diverse data types, including genomics and imaging, to uncover tumor characteristics beyond traditional methods.

Keywords:
Multi-modal clinical research data warehouseadaptable extractioncontent based retrievaldecision supportlarge-scale multi-site collaborationmachine learningtransform and load interface

More Related Videos

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

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

Published on: October 10, 2018

8.2K
Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS
11:04

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS

Published on: May 3, 2011

14.7K

Related Experiment Videos

Last Updated: Jul 4, 2025

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

42.6K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

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

Published on: October 10, 2018

8.2K
Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS
11:04

Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor IRIS

Published on: May 3, 2011

14.7K

Area of Science:

  • Oncology
  • Bioinformatics
  • Data Science

Background:

  • Large-scale, multi-site collaboration is crucial for advancing cancer research.
  • Existing data warehouses often lack support for multimodal data, hindering comprehensive analysis.
  • There is a need for advanced data management and analytic tools in precision oncology.

Purpose of the Study:

  • To design, develop, and implement a multi-modal Clinical & Research Data Warehouse (CRDW).
  • To integrate diverse clinical and research data, including genomics, digital pathology, and radiology images.
  • To provide actionable insights into tumor characteristics through computational and machine-learning tools.

Main Methods:

  • Developed a flexible Extract, Transform, and Load (ETL) interface for data aggregation.
  • Integrated genomics, digital pathology, and radiology imaging data.
  • Incorporated computational and machine-learning tools for data mining and analysis.

Main Results:

  • The CRDW successfully supports automated collection and mining of multimodal data.
  • The system provides insights into tumor environments not revealed by standard methods.
  • The flexible ETL interface allows adaptation to various clinical and research data sources.

Conclusions:

  • The developed CRDW addresses limitations of traditional data warehouses by handling multimodal data.
  • This system facilitates deeper understanding of cancer biology and disease progression.
  • The CRDW empowers investigators with advanced tools for oncology research and clinical activities.