Lab Results
Interpret a lab result against the published literature
Take a fresh experimental result, such as a knockdown that changed a readout in your cell line, and find out how it sits in the published literature: which papers agree, which conflict, what mechanisms could explain it, where the caveats are, and which experiment would settle the open question. The workflow ends with the result saved in your lab book, ready to re-check as new papers appear.
Built for the day a result comes off the bench
PhD students and postdocs: sanity-check a surprising result before the lab meeting, with the papers that agree and the ones that do not.
Principal investigators: see whether a result is novel, expected, or in conflict with the field before it shapes the next round of experiments.
Core facility and industry scientists: turn a screening hit or an unexpected phenotype into a cited interpretation a collaborator can verify.
The workflow
The 6-step workflow: result to verdict to lab book
- 1
Switch to "Interpret my result" and describe what you found
Above the input, choose Interpret my result. Write the result the way you would tell a colleague: the system, what you changed, what you measured, and what you expected. Attach a figure or a table if you have one; the text can stay short.
Example prompt
"I found that knocking down METTL3 in my glioblastoma cell line reduced global m6A levels and decreased proliferation. How does this fit with the published literature, and what are the most likely mechanisms and caveats?"
- 2
Confirm the extracted chips
BioSkepsis extracts the system, the perturbation, each readout with its direction, and what you expected, and shows them as editable chips in the chat. Correct anything it got wrong, then confirm with one click. The run starts from what you confirmed, not from a guess.
- 3
Read the verdict: your result beside the literature
→ Verdict headerThe brief opens with your result on one side and the literature on the other: how many papers read in full agree, conflict, or are unclear, the confidence, and the Trust Index of the sources. A one-line verdict says whether the result fits, partly fits, conflicts, or rests on too little evidence.
- 4
Work through the mechanisms and caveats
→ Ranked mechanismsBelow the verdict, the most likely mechanisms are ranked with their evidence strength and the papers behind each one. The caveats section names the differences in models, methods and readouts that could explain a conflict, so a disagreement with the literature is a lead rather than a worry.
Example prompt
"Which of these mechanisms would also predict the proliferation change, and which would not?"
- 5
Plan the experiment that would settle it
→ Next experimentsEach suggested experiment says what it would distinguish and why. Click Plan this to turn it into a follow-up run with the design, controls and readouts drawn from the papers that used it.
Example prompt
"Plan a rescue experiment with catalytically dead METTL3 to separate methyltransferase-dependent from independent effects."
- 6
Watch the finding and come back through the lab book
→ Lab book entryWatch this finding puts the claim on Evidence Watch, which re-checks it monthly and tells you when a new paper confirms or contradicts it. The interpretation is saved as a lab book entry, grouped by project, where you can re-check it against papers published since the verdict.
What you walk away with
A cited verdict — fits, partly fits, conflicts, or too little evidence, with the tally of papers behind it and a Trust Index
Ranked mechanisms and caveats — the explanations the literature supports, with their strength and the differences in models and methods that matter
The next experiment — what would settle the open question, ready to plan as a follow-up run
A lab book entry — your result, the verdict and the watch, kept together and re-checkable as the field moves
Honest limits
The verdict reflects the published literature BioSkepsis can read. Unpublished, confidential or unindexed work is not part of the tally.
Agreement is judged on the papers retained for the run. A result that "fits" fits those papers; a broader or narrower search can move the tally, and the sources are listed so you can check them.
Mechanisms are hypotheses ranked by evidence, not conclusions. The next experiment exists precisely because the literature cannot settle the question on its own.
Your experimental design stays yours. BioSkepsis names the caveats and the distinguishing experiment; you decide what to run.
Frequently asked
What should I write in the result?
The system (cell line, organism, tissue), what you changed, what you measured and in which direction, and what you expected. Plain sentences are enough; the chips you confirm afterwards are what the run uses.
Can I attach a figure or a table instead of writing it out?
Yes. Attach the file and add a sentence on what it shows; BioSkepsis extracts the chips from both and asks you to confirm them before the run starts.
What does "partly fits" mean?
Most retained papers agree with your result but at least one conflicts, or the agreement holds in a different model or readout than yours. The caveats section names the difference.
What happens when the literature has too little evidence?
The verdict says so, with the reason shown, rather than forcing a stance. The mechanisms and next experiments still tell you where the field stands and what would move it.
How is this different from asking a general chatbot?
The verdict counts real papers read in full, every citation is verified against the source text, retracted and hijacked-journal sources are blocked, and the whole interpretation is saved and re-checkable rather than lost in a chat.
Related use cases
Start free with BioSkepsis
PubMed-grounded biomedical AI for life-science researchers. No credit card required.