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Finding Related Research and Identifying a Research Gap: Try “Connected Papers”

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Short Summary Many researchers search PubMed to find articles on a topic, but few know how to visually map related research and identify gaps. In this post, I explore a real example using my paper on searching PubMed in radiology — and demonstrate how a tool like Connected Papers can help researchers refine or choose a research topic by finding related research or identifying research gaps or both! Why This Topic Matters When we publish, we often wonder: Who else has written something similar? Has the topic evolved? Is there a gap I can explore further?Traditional searching gives us a…
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NAITIK – Is Your Ethics Committee Registered?

NAITIK – Is Your Ethics Committee Registered?

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If you conduct biomedical or health research involving human participants, one essential step is ensuring that your Ethics Committee (EC) is registered with NAITIK — India’s official DHR portal for EC registration. What Is NAITIK? NAITIK is the National Ethics Committee Registry for Biomedical & Health Research. It allows ECs to apply, renew, and manage registrations fully online, making the process simpler and more transparent. Why It Matters Required for ECs reviewing human-participant research Ensures compliance with ICMR ethical guidelines Makes institutional research more accountable and audit-ready For Researchers & Institutions Before starting any study, confirm that the EC reviewing…
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Abstrackr: Streamline Your Systematic Reviews

Abstrackr: Streamline Your Systematic Reviews

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Conducting systematic reviews can be a daunting task, especially when faced with thousands of citations. Abstrackr, developed by Brown University's Center for Evidence Synthesis in Health, offers a free, open-source solution to simplify this process. Designed to semi-automate the citation screening phase, Abstrackr leverages machine learning to predict the relevance of studies based on titles and abstracts, significantly reducing the manual workload. Key Features of Abstrackr AI-Powered Recommendations: Utilize machine learning algorithms to identify and prioritize relevant citations, allowing researchers to focus on the most pertinent studies. Collaborative Screening: Invite team members to participate in the screening process, facilitating efficient…
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