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Related Concept Videos

Endocrine Signaling01:45

Endocrine Signaling

67.6K
Endocrine cells produce hormones to communicate with remote target cells found in other organs. The hormone reaches these distant areas using the circulatory system. This exposes the whole organism to the hormone but only those cells expressing hormone receptors or target cells are affected. Thus, endocrine signaling induces slow responses from its target cells but these effects also last longer.
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The Endocrine System01:29

The Endocrine System

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The endocrine system is an extensive network of glands – organs or tissues in the body that create chemicals that control many bodily functions, that secrete hormones, which are chemical messengers that play essential roles in regulating various bodily functions. These hormones are secreted into the bloodstream and travel throughout the body. They require specific receptors to convey signals to cells possessing these corresponding receptors. This complex signaling mechanism ensures that...
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What is the Endocrine System?00:46

What is the Endocrine System?

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The endocrine system sends hormones—chemical signals—through the bloodstream to target cells—the cells the hormones selectively affect. These signals are produced in endocrine cells, secreted into the extracellular fluid, and then diffuse into the blood. Eventually, they diffuse out of the blood and bind to target cells which have specialized receptors to recognize the hormones.
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Chemical Signaling in the Endocrine System01:08

Chemical Signaling in the Endocrine System

6.0K
A signaling cascade is a series of events that facilitates the transmission of information within or between cells, culminating in a targeted response in the recipient cell. As chemical messengers, hormones are pivotal in initiating and modulating these intricate signaling cascades based on their solubility.
Lipid-soluble hormones, such as steroid hormones, demonstrate an intracellular action. These hormones traverse cell membranes due to their lipid nature. Once inside the target cell, they...
6.0K
Hormones Regulating Blood Glucose01:16

Hormones Regulating Blood Glucose

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Insulin is released by beta cells of the pancreas when blood glucose levels are high. It facilitates glucose absorption and utilization in insulin-dependent cells with insulin receptors on their plasma membranes. Insulin promotes glucose uptake by increasing the number of glucose transport proteins in the cell membrane, allowing glucose to enter the cell. As a result, glucose utilization and ATP production are enhanced.
In addition to accelerating glucose uptake and utilization, insulin has...
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EndoCompass Project: Artificial Intelligence in Endocrinology.

Guillaume Assié1,2, Gustavo Carneiro3, Eleanor Davies4

  • 1Institut Cochin, Université Paris Cité, CNRS, INSERM, Paris, France, guillaume.assie@aphp.fr.

Hormone Research in Paediatrics
|November 27, 2025
PubMed
Summary
This summary is machine-generated.

Endocrine research needs strategic prioritization, focusing on compliant data sharing, fair artificial intelligence (AI) development, and comprehensive AI training for endocrinologists to address hormone health challenges.

Keywords:
Artificial intelligenceDatabaseEndoCompassRoadmap

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Area of Science:

  • Endocrinology and hormone health research.
  • Integration of artificial intelligence (AI) in medical research.

Background:

  • Endocrine science is underrepresented in EU research funding despite significant societal impact.
  • A gap exists between the impact of endocrine disorders and research prioritization.
  • The EndoCompass project aims to define strategic research priorities in endocrine science.

Purpose of the Study:

  • To identify and promote strategic research priorities in endocrine science.
  • To address critical hormone-related health challenges through research.
  • To analyze the current landscape of AI applications in endocrinology.

Main Methods:

  • Comprehensive analysis of the EU CORDIS database (Horizon 2020).
  • Expert examination of AI applications in endocrinology.
  • Focus on data-sharing, fairness, and training needs for AI in endocrinology.

Main Results:

  • Priorities include compliant clinical and omic data sharing frameworks.
  • Development of fair, unbiased AI systems accounting for diversity and preventing de-skilling.
  • Creation of AI training programs for endocrinologists at all career stages.
  • Emphasis on coordinating AI initiatives across specialties while retaining endocrine-specific needs.

Conclusions:

  • Provides a roadmap for integrating AI into endocrine practice and research.
  • Highlights the need for balanced AI approaches that preserve clinical expertise.
  • Supports strategic investment in AI infrastructure, training, and fairness-aware development.