関連する実験動画

Updated: Feb 13, 2026

A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds
13:34

A Combined 3D Tissue Engineered In Vitro/In Silico Lung Tumor Model for Predicting Drug Effectiveness in Specific Mutational Backgrounds

Published on: April 6, 2016

10.7K

肺がんにおけるEGFR予測のためのオープンソースAIモデルの祖先関連パフォーマンス変数

Mehrdad Rakaee1,2, Amin H Nassar1,3, Masoud Tafavvoghi2,4

  • 1Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.

JAMA oncology
|February 12, 2026
PubMed
まとめ

人工知能 (AI) の病理学モデルは,肺腺がんにおけるEGFR変異を予測する有望なことを示していますが,性能は祖先集団によって異なります. これらのAIツールは,高い精度を維持しながら,迅速なEGFRテストの必要性を潜在的に減らすことができます.

さらに関連する動画

Author Spotlight: Establishing a Murine Non-Small Cell Lung Cancer Model for Developing Nanoformulations of Anticancer Drugs05:11

Author Spotlight: Establishing a Murine Non-Small Cell Lung Cancer Model for Developing Nanoformulations of Anticancer Drugs

Published on: May 10, 2024

1.9K
Detection of Targetable Alterations in Non-small Cell Lung Cancer using Next-generation Sequencing05:17

Detection of Targetable Alterations in Non-small Cell Lung Cancer using Next-generation Sequencing

Published on: October 10, 2025

428

関連する概念動画

Sources of Self-Esteem II: Performance Feedback01:24

Sources of Self-Esteem II: Performance Feedback

Self-esteem is intricately tied to our perception of competence and our ability to exert control over our lives. One of the primary sources of this perception is performance feedback — the ongoing evaluation of our actions in terms of success and failure. According to Franks and Marolla (1976), people derive self-worth from experiencing themselves as causal agents, capable of achieving goals and overcoming obstacles. This process nurtures a critical component of self-esteem:...
195
Predicting Molecular Geometry02:27

Predicting Molecular Geometry

VSEPR Theory for Determination of Electron Pair Geometries
46.1K
Variability: Analysis01:11

Variability: Analysis

Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
527
Random Variables01:09

Random Variables

A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
17.9K
Lung Capacity01:47

Lung Capacity

The air in the lungs is measured in volumes and capacities. Lung volume measures reflect the amount of air taken in, released, or left over after a lung function, like a single inhalation. Lung capacity measures are sums of two or more lung volume measures.
56.4K
Graphs of Equations in Two Variables01:30

Graphs of Equations in Two Variables

An equation with two variables, typically written in the form y = f(x) or Ax + By = C, describes a relationship between quantities represented by x and y. Each solution to such an equation is an ordered pair (x, y) that satisfies the equation when substituted. These pairs can be represented graphically to understand the variables' relationship visually.A common technique for constructing the graph of a two-variable equation is to create a value table. Begin by choosing several values for the...
270