BioSkepsis Joins SciSure: Cited Literature Review for Life Science

October 13, 2026

Reviewed

BioSkepsis Joins the SciSure Marketplace: Cited Literature Review for Life-Science Labs

BioSkepsis, the AI research assistant for the life sciences, is now available in the SciSure Marketplace. Scientists can run a cited biomedical literature review, benchmark their own results against more than 40 million full-text papers, and read a six-facet Trust Index on the evidence, without leaving the workspace where the experiment is planned and documented.

Why preclinical reproducibility makes literature review a bench decision

Deciding what to test next is an evidence problem. Before a knockdown, a dose-response series or a new antibody panel, a scientist has to search across papers, reconcile conflicting findings and judge how the published record relates to the result already sitting in the lab notebook.

That record is less solid than it looks. Freedman, Cockburn and Simcoe estimated that the cumulative prevalence of irreproducible preclinical research exceeds 50%, corresponding to approximately $28 billion per year in the United States alone (PMID 26057340). They attributed the largest shares of that spend to biological reagents and reference materials (36%) and study design (28%), with data analysis, reporting and laboratory protocols accounting for the rest.

When literature review happens in one tool and experiment planning in another, those weaknesses travel silently into the next protocol. The SciSure integration puts the evidence check in the same place the protocol is written.

From research question to cited biomedical evidence brief inside SciSure

SciSure is a Scientific Management Platform used by scientists, LabOps and EHS teams to run safer, more reproducible research environments. With the BioSkepsis add-on, a researcher can ask a scientific question or describe an experiment directly in SciSure. BioSkepsis searches the relevant literature, evaluates the findings and returns a cited research brief that shows where evidence aligns, where it conflicts and where it is limited.

The same brief can be used to benchmark an experimental finding against published work, and to surface candidate mechanisms and follow-up experiments. For a worked example of that pattern, see the interpret-my-lab-result use case.

Literature review for an experiment: separate tools vs BioSkepsis inside SciSure
Step Separate search tools and a general-purpose chatbot BioSkepsis inside SciSure
Where the question is asked Outside the lab workspace; context re-typed by hand In SciSure, next to the documented experiment
Literature coverage Abstract search, or model training data More than 40 million biomedical papers, read in full text
Citations Manual, or generated references that may not exist Every finding tied to a verifiable citation
Conflicting findings Left to the reader to spot Marked explicitly as aligned, conflicting or limited
Evidence quality signal None Trust Index, 0–100, across six facets
Retracted or hijacked sources Not screened Retractions and hijacked journals blocked; corrections flagged
After the decision Evidence goes stale unnoticed Evidence Watch alerts on retractions, corrections and newer evidence
Experimental files Copied into third-party tools Remain in the SciSure workspace
“Researchers shouldn’t have to separate the work of running an experiment from the evidence that informs it. […] It’s a strong example of how we want to expand SciSure through tools that fit naturally into the way scientists work.” Andrew Martin, Director of Marketplace Development, SciSure

The Trust Index: scoring biomedical evidence strength across six facets

Every BioSkepsis brief carries a Trust Index from 0 to 100. It is a summary of how well the evidence behind the brief holds up, not a rating of how confident the prose sounds. The score decomposes into six facet checks, each marked OK, Caution, Weak or N/A:

  1. Provenance — where the evidence comes from.
  2. Grounding — whether each claim matches the exact passage it cites; weighted heavily because it guards against overstatement.
  3. Evidence strength — whether claims rest on causal, associational, synthesis or preclinical evidence.
  4. Reproducibility — whether independent groups have replicated the finding.
  5. Durability — whether the finding still holds against later literature.
  6. Reagent validity — whether the tools behind the finding were sound.

Facets are weighted, not averaged, and a facet that does not apply to the question is excluded rather than penalised. Two briefs can share a score for different reasons; opening the facets shows which kind of caution applies.

Why reagent validity is a facet of its own

Freedman and colleagues traced 36% of irreproducible preclinical spend to biological reagents and reference materials, the single largest category (PMID 26057340). A misidentified cell line or an unvalidated antibody can make a well-cited result unreliable. Scoring reagent validity separately surfaces that risk before it is copied into a new protocol.

Grounding versus a general-purpose LLM

A general-purpose model can write a fluent paragraph with a plausible reference attached. BioSkepsis matches each claim back to the source passage and lowers the grounding facet when a statement drifts beyond what the cited text supports. The reader sees the gap instead of inheriting it.

Evidence Watch and Research Feed: monitoring retractions and new biomedical literature

A literature review is a snapshot; the evidence base keeps moving. Evidence Watch re-validates the claims behind a brief on a schedule and alerts the researcher when a cited paper is retracted, corrected or superseded by newer evidence.

The Research Feed follows new publications in the topics relevant to a researcher’s work. The Literature Landscape gives a visual view of a field through citation networks, clusters and timelines, connecting papers by the genes, proteins, drugs, diseases and pathways they share. Collections keep relevant papers and briefs together for later reference.

Keeping a recorded lab decision tied to live evidence

A decision documented in SciSure in March may rest on a paper that is retracted or corrected in September. Evidence Watch flags that change against the original brief, so the lab can re-examine the decision rather than discover the problem during replication.

“Every research decision is only as strong as the evidence behind it. […] Joining the SciSure Marketplace brings that capability directly into the environment where experiments are planned and documented, so researchers can benchmark their results against the published record and choose their next step with greater confidence.” Dimitris Kyriakou, Co-founder and CEO, EFEVRE TECH LTD

Who the SciSure integration serves in life-science research

BioSkepsis in SciSureBench scientists planning the next experiment

Ask whether an unexpected result has precedent, which mechanisms could explain it, and which follow-up experiments the literature supports, all next to the experiment record.

BioSkepsis in SciSurePrincipal investigators and lab managers

Review the cited brief and its Trust Index facets before approving a protocol, reagent purchase or new line of work; keep Evidence Watch running on the claims the lab depends on.

BioSkepsis in SciSureReproducibility-focused LabOps teams

Pair SciSure’s operational records with literature-level checks on reagent validity, replication and retractions, the evidence-side half of the reproducibility problem.

Availability, data handling and pricing for life-science teams

BioSkepsis is available now through the SciSure Marketplace. When the add-on is used through the integration, files and experimental results remain within the SciSure workspace.

A free plan is available with no credit card required; additional plans cover individual researchers, teams and organizations (see pricing). BioSkepsis is also listed in the Claude connector directory, so the same citation-grounded briefs can be run from inside Claude; setup is described in the Claude connector guide.

Frequently asked questions

How do I add BioSkepsis to my SciSure workspace?

Install BioSkepsis from the SciSure Marketplace listing at scisure.com/marketplace/bioskepsis. A free BioSkepsis plan is available with no credit card required; paid plans add usage for individual researchers, teams and organizations.

Do my experimental files and results leave SciSure when I use BioSkepsis?

When the add-on is used through the SciSure integration, files and experimental results remain within the SciSure workspace. BioSkepsis searches the published biomedical literature to build the brief.

What does the BioSkepsis Trust Index measure in a biomedical research brief?

The Trust Index scores each brief from 0 to 100 across six facet checks: provenance, grounding, evidence strength, reproducibility, durability and reagent validity. Each facet is marked OK, Caution, Weak or N/A, so a reader can see why the score landed where it did rather than trusting a single number.

How is BioSkepsis different from asking a general-purpose chatbot about the literature?

BioSkepsis searches more than 40 million biomedical papers in full text, ties every claim to a verifiable citation, screens out retracted papers and hijacked journals, and reports where evidence converges, conflicts or is thin. A general-purpose model answers from training data and can produce references that do not exist or do not support the claim.

What happens if a paper cited in my brief is later retracted or corrected?

Evidence Watch re-validates the findings behind a brief on a schedule and alerts you when a cited paper is retracted, flagged or superseded by newer evidence, so a decision recorded in your lab workspace does not quietly rest on withdrawn data.

Can I use BioSkepsis outside SciSure, for example inside Claude?

Yes. BioSkepsis is also listed in the Claude connector directory: connect once, ask a life-science question in Claude and receive the same citation-grounded brief. It is also available directly at bioskepsis.ai.

Run a cited biomedical literature review on your next experiment

Ask a life-science question, get a brief with verified citations and a six-facet Trust Index. Free plan, no credit card.

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Sources & further reading

  1. Freedman LP, Cockburn IM, Simcoe TS. The economics of reproducibility in preclinical research. PLoS Biol. 2015;13(6):e1002165. PMID 26057340. Source for the >50% irreproducibility estimate, the ~$28 billion annual US figure, and the 36% (reagents) and 28% (study design) shares.
  2. BioSkepsis on the SciSure Marketplace
  3. SciSure — Scientific Management Platform
  4. The Trust Index, explained — BioSkepsis Docs
  5. Evidence Watch — BioSkepsis Docs
  6. Trust & safety: retraction and hijacked-journal screening — BioSkepsis Docs