The AI Landscape Has Changed
A year ago, the conversation about AI for students was almost entirely about ChatGPT. Today, the ecosystem is significantly more sophisticated. There are tools designed specifically for research, for reading scientific papers, for understanding complex concepts, and for managing information. As a biomedical science student, knowing which tools to use for which tasks is itself a valuable skill.
Here are the five I use regularly, what I use them for, and the honest limitations of each.
1. Perplexity AI — For Research and Literature Discovery
Perplexity is an AI-powered search engine that provides answers with citations. Unlike ChatGPT, which generates text based on training data, Perplexity retrieves current information from the web and academic sources, then synthesises it with references you can verify.
I use it for initial literature discovery — getting an overview of a topic and finding relevant papers to read in full. The Academic mode is particularly useful: it focuses results on peer-reviewed sources.
Limitation: Perplexity is a starting point, not an endpoint. Always read the primary sources it cites. It occasionally misrepresents or oversimplifies findings.
2. Elicit — For Systematic Literature Review
Elicit is an AI research assistant designed specifically for academic literature. You ask a research question, and it searches across millions of papers to find relevant studies, extract key findings, and summarise methodology and results.
For biomedical science students, it's invaluable for literature reviews and understanding the evidence base for a topic. It saves hours of manual database searching.
Limitation: It works best for well-defined research questions. For broad topic exploration, Perplexity is more useful.
3. Consensus — For Evidence-Based Answers
Consensus is similar to Elicit but optimised for getting evidence-based answers to specific questions. Ask "Does sleep deprivation affect immune function?" and it will return a synthesis of the research evidence, with percentage agreement across studies.
This is particularly useful for biomedical science because it helps you understand not just what the evidence says but how strong and consistent that evidence is.
4. Explainpaper — For Reading Difficult Papers
Explainpaper lets you upload a PDF of a scientific paper and ask questions about it. Highlight a confusing passage and ask "what does this mean?" — it will explain it in plain language.
As a first-year student, reading primary literature is challenging. The vocabulary, the statistical methods, the assumed background knowledge — all of it can be overwhelming. Explainpaper doesn't replace the effort of reading papers, but it significantly reduces the friction.
5. Anki with AI-Assisted Card Generation
Anki itself isn't an AI tool, but combining it with ChatGPT for card generation creates a powerful study system. I use ChatGPT to generate initial flashcard content from my notes, then review and edit before adding to my Anki deck.
The AI handles the time-consuming part of card creation; I handle the quality control and the actual learning. This combination has transformed my exam preparation.
The Principle Behind the List
Every tool on this list is designed to help you understand and engage with knowledge more effectively — not to replace your thinking. The moment you use any of these tools to avoid thinking rather than to think better, you've undermined the entire point.
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Written by
Stephen Kelechi Imo
Biomedical Science Student · Coventry University
First-year Biomedical Science student at Coventry University, writing about AI tools, student life, and the science of staying productive. Originally from Nigeria, now navigating UK university life — one lab session at a time.
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