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Unleashing the power of deep learning in biomedical research

This article takes a look at the potential of deep learning and its remarkable impact on the biomedical landscape.  
Unleashing the power of deep learning in biomedical research

Identifying biomarkers from Omics data: The role of statistics

This blogpost looks at the crucial role that statistics plays in the identification of biomarkers from omics data, and get an idea of the powerful tools and methods that…
Identifying biomarkers from Omics data: The role of statistics

How paper mills damage scholarly work and public trust in science

This article highlights the dangers that paper mills pose and how well-meaning researchers can avoid their pitfalls.
How paper mills damage scholarly work and public trust in science

Unlocking the secrets of scholarly publishing: Tips for mid-career researchers

This article explores the unique challenges faced by mid-career researchers and provide valuable tips to help them unlock the secrets of scholarly publishing. From…
Unlocking the secrets of scholarly publishing: Tips for mid-career researchers

Navigating the maze of medical literature: A guide for early career researchers

This article is a comprehensive guide to help early career researchers effectively navigate the sea of medical literature, ensuring they stay informed, discover valuable…
Navigating the maze of medical literature: A guide for early career researchers

Data sleuths and their role in maintaining research integrity

While one goal of peer review is verifying whether research data are plausible, there were never traditionally people who made a career out of investigating research…
Data sleuths and their role in maintaining research integrity

A look at Sci-Hub’s current state and its impact on scholarly communication

Have you heard of Sci-hub? This post looks at its history, what researchers think about it, and how does its future look like.
A look at Sci-Hub’s current state and its impact on scholarly communication

Statistical solutions to overcome missing data in clinical trials and observational studies

This blogpost introduces various statistical methods you can use to mitigate the challenges of missing and incomplete data in observational studies and clinical trials. 
Statistical solutions to overcome missing data in clinical trials and observational studies

Understanding ascertainment bias in biomedical research: Implications and how to prevent it

In this blogpost, we will delve into what ascertainment bias is, its implications in biomedical research, and strategies to prevent it, particularly for experienced…
Understanding ascertainment bias in biomedical research: Implications and how to prevent it

Tips to break down research jargon and communicate clearly

We will address two questions in this post: (i) Why is it important to make your research more accessible to a wider audience? (ii) How can you communicate your findings…