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Related Concept Videos

Classification of Illness01:17

Classification of Illness

The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe and...
Classification of Systems-II01:31

Classification of Systems-II

Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
Classification of Systems-I01:26

Classification of Systems-I

Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Heart Failure IV: Classification and Diagnostic Evaluation01:30

Heart Failure IV: Classification and Diagnostic Evaluation

Heart failure can be classified in various ways, with the most common classifications based on physical activity limitations, disease progression, severity, and treatment strategies.The Functional Classification of Heart Failure divides patients into four categories based on physical activity limitation due to symptom burden.Class I: Patients in this class have cardiac disease but no physical activity limitations. Ordinary activities like walking, climbing stairs, or routine tasks do not cause...
Classification of Bones01:18

Classification of Bones

The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
Long and Short Bones
The appendicular skeleton, particularly the upper and lower limbs, is primarily made of long and short bones. The long...
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...

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Updated: May 16, 2026

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging
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A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

Published on: February 4, 2022

The Banff classification revisited.

Kim Solez1, Lorraine C Racusen

  • 1Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada. kim.solez@ualberta.ca

Kidney International
|December 14, 2012
PubMed
Summary
This summary is machine-generated.

The Banff classification for renal transplant pathology has evolved into a global standard, driving advancements in transplantation. Future integration of genomics and molecular medicine is crucial for overcoming current limitations.

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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

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Last Updated: May 16, 2026

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging
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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

Area of Science:

  • Transplant Pathology
  • Immunopathology
  • Renal Transplantation

Background:

  • The Banff working classification, established in 1991, has become a cornerstone for standardizing renal allograft pathology.
  • It plays a critical role in international clinical trials for novel antirejection therapies.
  • The Banff process has expanded beyond renal transplantation to encompass other solid organ transplants.

Purpose of the Study:

  • To review the historical development and impact of the Banff classification in renal transplant pathology.
  • To highlight the ongoing evolution and expansion of the Banff consensus process.
  • To identify current limitations and future challenges in pathological classifications for transplantation.

Main Methods:

  • The study is based on a review of the historical development and consensus process of the Banff classification.
  • It analyzes the application and expansion of the Banff meetings and working groups.
  • The abstract discusses the inherent limitations of traditional histopathology in classification systems.

Main Results:

  • The Banff classification has achieved global recognition and is instrumental in setting standards for renal transplant pathology.
  • Collaborative international efforts through Banff meetings enhance clinical success in transplantation.
  • Limitations include potential sampling errors, reproducibility issues, and the lack of integrated molecular and genomics data.

Conclusions:

  • The Banff classification has been highly successful in standardizing renal allograft pathology and promoting collaborative research.
  • Future advancements necessitate the integration of genomics and molecular medicine into pathological classifications.
  • Addressing these challenges is vital for the continued improvement of transplant outcomes.