Katharine Lang

Katharine Lang is a skilled science communicator with a background in biological sciences and experience in editing for reputable publications. She holds a BSc in Biological Sciences from the University of Exeter and has worked as a scientific editor on The British Journal of Psychiatry. Her career took her to Country Life where she served as deputy chief sub-editor for six years. After taking a career break to live in Germany and Australia, she became a full-time mum. Later, Katharine retrained and taught A Level Biology before pursuing a Masters in Science Communication at Imperial College. Her area of expertise is the effect of nutrition on health, ensuring that nutritional claims are backed by scientific evidence. In her spare time, Katharine enjoys baking and gardening.

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The Daily's Verdict

This author is known for its high journalistic standards. The author strives to maintain neutrality and transparency in its reporting, and avoids conflicts of interest. The author has a reputation for accuracy and rarely gets contradicted on major discrepancies in its reporting.

Bias

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Examples:

No current examples available.

Conflicts of Interest

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Examples:

No current examples available.

Contradictions

97%

Examples:

  • A new calculation model developed by the Alzheimer Center Amsterdam helps doctors predict how quickly patients with Alzheimer's will deteriorate.
  • Researchers developed models to predict the rate of decline on a test of thinking and memory skills.

Deceptions

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Examples:

No current examples available.

Recent Articles

Revolutionizing Alzheimer's Treatment: New Model Predicts Cognitive Decline and Identifies Effective Drugs

Revolutionizing Alzheimer's Treatment: New Model Predicts Cognitive Decline and Identifies Effective Drugs

Broke On: Thursday, 11 July 2024 Researchers in Amsterdam develop a model to predict cognitive decline in Alzheimer's patients, potentially revolutionizing treatment and management. The study aims to create an app for clinicians, offering hope for millions affected by the disease. Further research is needed to refine the model and ensure accuracy.