関連する実験動画

Updated: Feb 14, 2026

Predictive Immune Modeling of Solid Tumors
08:50

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

7.6K

脳腫瘍の特徴化のための堅牢で一般化可能な放射性ゲノミクスの予測モデルへ

Maria Nadeem1, Asma Shaheen1, Muhammad F A Chaudhary1

  • 1From the Department of Mathematics (M.N.), School of Science and Engineering; department of Mathematics, Computer Science, and Physics (A.S.), University of Udine; The Roy J. Carver Department of Biomedical Engineering (M.F.A.C.), The University of Iowa; and Department of Electrical Engineering, School of Science and Engineering (H.M.-uD.), LUMS.

AJNR. American journal of neuroradiology
|February 12, 2026
PubMed
まとめ

主に整体腫瘍領域からの質感に基づく高度に安定した放射性特性は,脳腫瘍の特徴化モデルを改善します. この安定性は,放射線遺伝学予測の汎用性を高め,より堅牢な診断ツールにつながります.

さらに関連する動画

Predicting In Vivo Payloads Delivery using a Blood-brain Tumor-barrier in a Dish13:34

Predicting In Vivo Payloads Delivery using a Blood-brain Tumor-barrier in a Dish

Published on: April 16, 2019

9.8K
An Ex Vivo Brain Slice Model to Study and Target Breast Cancer Brain Metastatic Tumor Growth10:38

An Ex Vivo Brain Slice Model to Study and Target Breast Cancer Brain Metastatic Tumor Growth

Published on: September 22, 2021

3.7K

関連する概念動画

Predicting Molecular Geometry02:27

Predicting Molecular Geometry

VSEPR Theory for Determination of Electron Pair Geometries
46.1K
Prediction Intervals01:03

Prediction Intervals

The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
3.4K
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
1.4K
End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
1.3K
Predicting Reaction Outcomes02:24

Predicting Reaction Outcomes

Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
11.0K
Predicting Products: Substitution vs. Elimination02:52

Predicting Products: Substitution vs. Elimination

When a nucleophile and an alkyl halide react, nucleophilic substitution and β-elimination reactions compete to generate products.
The following factors can influence the mechanisms competing against each other:
14.9K