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

Biological Effects of Radiation02:59

Biological Effects of Radiation

18.1K
All radioactive nuclides emit high-energy particles or electromagnetic waves. When this radiation encounters living cells, it can cause heating, break chemical bonds, or ionize molecules. The most serious biological damage results when these radioactive emissions fragment or ionize molecules. For example, α and β particles emitted from nuclear decay reactions possess much higher energies than ordinary chemical bond energies. When these particles strike and penetrate matter, they...
18.1K
Radiation: Applications01:17

Radiation: Applications

1.8K
The average temperature of Earth is the subject of much current discussion. Earth is in radiative contact with both the Sun and dark space; it receives almost all its energy from the radiation of the Sun and reflects some of it into outer space. Dark space is very cold, about 3 K, so Earth radiates energy into it. For instance, heat transfer occurs from soil and grasses, the rate of which can be so rapid that frost can occur on clear summer evenings, even in warm latitudes.
The average...
1.8K
Development of Analytical Methods01:21

Development of Analytical Methods

2.3K
An analytical methodology can be divided into four sequential steps: technique, method, procedure, and protocol. A technique is a scientific principle that rationalizes a specific phenomenon through chemical measurements. Adapting a technique for analyzing a sample of interest is termed a method. The procedure outlines the directions for performing the analysis via an analytical method. The protocol is the detailed guidelines on the procedure, which should be strictly followed to obtain the...
2.3K
Absorption of Radiation01:05

Absorption of Radiation

1.3K
The rate of heat transfer by emitted radiation is described by the Stefan-Boltzmann law of radiation:
1.3K
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

104.1K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
104.1K
Analyte Adsorption and Distribution01:09

Analyte Adsorption and Distribution

2.8K
In certain chromatographic separations, solutes transfer between the mobile phase and the stationary phase via sorption, which typically refers to the process of adsorption. For many chromatographic systems, the sorption process often depends on the polarity of the compounds—an expression of the overall dipole moment within the molecule. During the separation process, there is competition between the solute and solvent for adsorption to the stationary phase. Highly polar compounds and...
2.8K

You might also read

Related Articles

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

Sort by
Same author

Separability and identifiability as primary obstacles to substantively useful mediation analysis.

European journal of epidemiology·2026
Same author

Development and Clinical Validation of a Protocol-Agnostic Machine Learning Platform for Automated Treatment Planning in External Beam Radiation Therapy.

Advances in radiation oncology·2026
Same author

Development and Validation of Machine Learning Models to Identify Emergency Department Patients at Increased Risk of New or Progressive Acute Kidney Injury.

Journal of the American College of Emergency Physicians open·2026
Same author

Functional impact of transoral surgery and risk-based adjuvant therapy in human papillomavirus-associated oropharyngeal cancer: swallowing outcomes from ECOG-ACRIN E3311.

JCO oncology advances·2026
Same author

Metastatic HPV-Related Multiphenotypic Sinonasal Carcinoma: A Case Report and Review of the Literature.

Journal of neurological surgery reports·2026
Same author

Best practices for moving from correlation to causation in ecological research.

Nature communications·2026
Same journal

Single Percussive Ventilation Breath-hold Imaging and Delivery in Lung Tumor Stereotactic Ablative Radiation Therapy: Initial Observations From a Prospective Clinical Trial.

International journal of radiation oncology, biology, physics·2026
Same journal

Proton beam therapy in nonmetastatic rhabdomyosarcoma: Outcome, prognostic factors and the effect of timing of radiation therapy.

International journal of radiation oncology, biology, physics·2026
Same journal

Hypofractionated Proton Reirradiation for Recurrent Glioblastoma: Clinical and Dosimetric Outcomes from a Large Single Institution Series.

International journal of radiation oncology, biology, physics·2026
Same journal

Gastrointestinal Motility-Induced Interplay in Pancreas Proton Therapy: Motion Simulation and Dosimetric Impact.

International journal of radiation oncology, biology, physics·2026
Same journal

Intra-fractional Voxel-wise Anatomical Motion Tracking Guided by Multimodal Respiratory Surrogates in Radiotherapy: Framework Development and Multi-Center Validation.

International journal of radiation oncology, biology, physics·2026
Same journal

A Gaussian-based planning approach for robust dose-escalated stereotactic body proton therapy.

International journal of radiation oncology, biology, physics·2026
See all related articles

Related Experiment Video

Updated: Feb 11, 2026

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
08:17

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

16.2K

Using Big Data Analytics to Advance Precision Radiation Oncology.

Todd R McNutt1, Stanley H Benedict2, Daniel A Low3

  • 1Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland.

International Journal of Radiation Oncology, Biology, Physics
|May 5, 2018
PubMed
Summary
This summary is machine-generated.

Precision medicine leverages big clinical data analytics and machine learning within a learning health system (LHS) to improve patient care. This approach integrates genomics and radiomics for enhanced clinical decision support and discovery.

More Related Videos

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.5K
Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
11:18

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Published on: January 22, 2011

16.5K

Related Experiment Videos

Last Updated: Feb 11, 2026

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
08:17

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

16.2K
Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.5K
Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
11:18

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Published on: January 22, 2011

16.5K

Area of Science:

  • Computational biology
  • Medical informatics
  • Precision medicine

Background:

  • Precision medicine aims to tailor treatments to individual patients.
  • Genomics and radiomics are key data sources in precision medicine.
  • The need for integrated data analytics is growing.

Purpose of the Study:

  • To discuss the role of big clinical data analytics in precision medicine.
  • To conceptualize a learning health system (LHS) for advancing precision medicine.
  • To explore the implications of using clinical data for decision support, discovery, and hypothesis derivation.

Main Methods:

  • Conceptualizing a learning health system (LHS) model.
  • Integrating machine learning with clinically acquired data.
  • Analyzing the spectrum of genomics and radiomics research.

Main Results:

  • A comprehensive LHS can support clinical decisions, discovery, and hypothesis generation.
  • Different conceptual models exist for various clinical data uses.
  • Advancements in technology and culture are crucial for realizing LHS.

Conclusions:

  • Big clinical data analytics are central to precision medicine.
  • A learning health system (LHS) offers a framework for integrating diverse data.
  • The LHS concept shows promise for precision radiation therapy.