Dhriti Bhattacharyya

Publications Manager, Publication Support Services, Editage

A molecular biologist and a published author currently dealing with content-related details of manuscripts from varied subject areas within the biomedical and life sciences.

How important is basic science research in the era of personalized medicine?

The current era of medicine is witnessing a drastic shift in how the overall health care is perceived and practiced. From the ‘one-size-fits-all’ approach, the research and trend are shifting towards personalized treatments. So the question arises: How important is basic science research in the era of personalized medicine? Let us explore this in detail. 

How to write the Methods section of a research paper

The Methods section of a research article is like a roadmap leading to the core of the research, guiding the readers through the actual journey the authors took to reach their destination. In the manuscript, this section contains the essential details for other scientists to replicate the experiments of the study and help the common readers to understand the study better. This article shares some tips to make the Methods section of your manuscript interesting and informative. 

7 Must-read tips for postdocs on how to choose a mentor/PI

The postdoctoral period is the springboard for an early career researcher before plunging into the independent scientific career. Therefore, finding the right mentor is crucial in culminating the postdoctoral period into a rewarding career move as well as a satisfying learning experience. This article provides tips and guidelines to help you make an informed choice before accepting a position in any lab.

Linking statistical significance to clinical importance of trial data: A paradigm shift

In evidence-based medicine, statistical information is critical for investigators to interpret observations and make treatment recommendations. A dichotomous way of looking at the world of clinical trials in terms of results being statistically ‘significant’ or ‘non-significant’ often distorts the broader interpretation of data. This article takes a look at how clinical trial data can be reported more robustly.