Related Experiment Video

Updated: Aug 5, 2025

An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells
09:41

An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells

Published on: July 15, 2015

8.7K

Real-world Big-data: Strengths and weaknesses of ASCO's CancerLinQ® discovery multiple myeloma dataset

Christin B DeStefano1, Jennifer A Thornton2, Steven J Gibson1

  • 1Walter Reed National Military Medical Center, Bethesda, Maryland, 20814, USA.

American Journal of Hematology
|March 27, 2023
PubMed
Abstract

No abstract available in PubMed .

More Related Videos

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

9.0K
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

160

Related Experiment Videos

Last Updated: Aug 5, 2025

An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells
09:41

An Organotypic High Throughput System for Characterization of Drug Sensitivity of Primary Multiple Myeloma Cells

Published on: July 15, 2015

8.7K
Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

9.0K
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

160

Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

406
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
406
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

5.0K
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.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
5.0K

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

Survival of U.S. Military Service Members with Hodgkin Lymphoma by Post-9/11 Deployment Status.

Cancer research communications·2026

Hepatocyte MLKL drives obesity-driven hepatocellular carcinoma progression via mitochondrial dysfunction independent of necroptosis in MASLD.

Hepatology (Baltimore, Md.)·2026

Acute Heat Exposure Upregulates Zebra Finch Physiology While Avoiding DNA Damage Across Both Sexes.

Journal of experimental zoology. Part A, Ecological and integrative physiology·2026

From Cure to Combat: Deployment After Lymphoma.

Journal of clinical medicine·2026

Beyond the Battlefield: Lymphoma Outcomes in Post-9/11 Service Members and Veterans.

Journal of clinical medicine·2026

MGUS prevalence among active-duty military personnel.

Blood cancer journal·2026

Plasma Exchange and Daratumumab for Myeloma Cast Nephropathy.

American journal of hematology·2026

A Pooled CRISPR Screen Reveals Genes Critical for Erythroblast Enucleation.

American journal of hematology·2026

Chromosomal Abnormalities, Drug Sensitivity and Resistance in Hematological Malignancies: A Comprehensive Overview by the Francophone Group of Hematological Cytogenetics (GFCH).

American journal of hematology·2026

Proteomic Profiling of Nodal T-Follicular Helper Cell Lymphoma Reveals Distinct Biological Signatures and Improves Prognostic Stratification Beyond the IPI.

American journal of hematology·2026

Cerebral Small Vessel Disease in Immune-Mediated Thrombotic Thrombocytopenic Purpura Patients During the Acute Phase and Disease Remission.

American journal of hematology·2026

Venetoclax Plus Hypomethylating Agent for 7- Versus 14- Versus 21- Versus 28-Day Cycles in Newly-Diagnosed Acute Myeloid Leukemia: ELN and Mayo Genetic Risk-Stratified Analysis in 540 Patients.

American journal of hematology·2026

Data everywhere, but are they fit for purpose?

Science (New York, N.Y.)·2026

Representation Retrieval Learning for Heterogeneous Data Integration.

Journal of the American Statistical Association·2026

Assessing COVID-19 knowledge, attitudes, and practices among Goma's displaced populations: A critical investigation in the wake of volcanic eruption and persistent armed conflict.

Journal of migration and health·2026

Recorded Human Leishmaniasis and Notification Gaps in Central Tuscany, Italy, 2014-2024: a Multisource Surveillance Study.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases·2026

Hierarchical multi-atlas fusion network for robust and interpretable cross-site analysis of functional connectomes in major depressive disorder.

Medical image analysis·2026

A Provenance-Driven Trust Framework with Physics-Consistent Validation for Secure Wireless Sensor Networks.

Sensors (Basel, Switzerland)·2026
See all related articles
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
Jove
Visualize
Contact Us