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Models of Health Promotion and Illness Prevention I01:25

Models of Health Promotion and Illness Prevention I

2.7K
A model is a theoretical way to understand a concept or an idea. Models can overcome barriers to health regardless of diverse economic and cultural backgrounds. In addition, models make the task easier by providing different ways to approach complex issues. There are two major health promotion models: the health belief model and the health promotion model.
The health belief model (HBM) attempts to predict health-related behavior in specific belief patterns. According to the HBM, a person's...
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Introduction to Epidemiology01:26

Introduction to Epidemiology

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Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
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Mechanistic Models: Overview of Compartment Models01:21

Mechanistic Models: Overview of Compartment Models

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Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
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Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

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Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
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Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

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Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
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Models of Health Promotion and Illness Prevention II01:18

Models of Health Promotion and Illness Prevention II

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The person's health status fluctuates continually, varying from being in good health to becoming ill and returning to being healthy. To understand the concept of illness prevention, there are two models. First, the health-illness continuum model is a graphic representation of an individual's wellness. It states that a person is considered healthy in the absence of physical disease and the presence of good emotional health.
The agent-host-environment model states that disease results...
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Updated: Jan 13, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

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病理学における基盤モデル入門

Brandon Veremis1, Shengjia Chen2, Gabriele Campanella2

  • 1Department of Pathology, Molecular and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L Levy Place, Box 1194, New York, NY, 10029, USA. brandon.veremis@mountsinai.org.

Head and neck pathology
|January 8, 2026
PubMed
まとめ

機械学習の一種である基盤モデルは、専門家によるラベリングなしで病理学の洞察を提供する。これらのトランスフォーマーモデルは、病理学の研究および潜在的な臨床用途に不可欠になりつつある。

キーワード:
コンピュータビジョン基盤モデル大規模言語モデルトランスフォーマービジョントランスフォーマー

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科学分野:

  • 人工知能と医学
  • 計算病理学
  • ヘルスケアのための機械学習

背景:

  • 基盤モデルは、新しいクラスの機械学習アルゴリズムを表す。
  • これらのモデルは、大規模なデータセットと教師なし学習を活用し、専門家によるデータラベリングの必要性を減らす。
  • データパターンの基本的な表現を生成することに優れている。

研究 の 目的:

  • 病理学者向けのトランスフォーマーモデルに関する非技術的な概要を提供する。
  • 病理学における基盤モデルの有用性を説明する。
  • リリースされた病理学基盤モデルとその研究アプリケーションを強調する。

主な方法:

  • この研究は、トランスフォーマーモデルの概念的な概要を提供する。
  • 病理学ワークフローにおける基盤モデルの適用について論じる。
  • 頭頸部がんのデータを使用して、公開されている基盤モデル内で説明的な例を示す。

主要な成果:

  • 基盤モデルは、病理学における機械学習プロジェクトの有効な第一歩となる。
  • これらは、腫瘍分類やバイオマーカー予測などの下流タスクに適用可能な内部データ表現を生成する。
  • 基盤モデルの使用は、手動データ注釈への依存を減らすことで、病理学研究を合理化できる。

結論:

  • 基盤モデルは、病理学の機械学習研究および臨床実践において、その普及を増す態勢を整えている。
  • 膨大なデータセットから学習し、手動ラベリングを最小限に抑える能力は、大きな利点を提供する。
  • これらのモデルを理解することは、AIを分野で利用する病理学者にとって不可欠である。