AI that thinks
like a scientist

Bring a result from the bench or a question from the field. BioSkepsis reads the literature in full and gives you a cited, verifiable answer scored on a Trust Index.

Interpret my result

What agrees, what conflicts, likely mechanisms, caveats, and the next experiment.

Research a question

A fully worked, evidence-backed brief: target dossiers, state of the field, mechanisms.

Start a research run

Used by scientists across academia and industry.

University of CambridgeKing's College LondonUniversity of MarylandUniversity of YorkUniversidad Complutense de MadridNational and Kapodistrian University of AthensUniversity of CyprusFORTH IMBBUniversity of IoanninaCyprus University of TechnologyEuropean University CyprusCyprus Institute of Neurology & GeneticsUniversity of CambridgeKing's College LondonUniversity of MarylandUniversity of YorkUniversidad Complutense de MadridNational and Kapodistrian University of AthensUniversity of CyprusFORTH IMBBUniversity of IoanninaCyprus University of TechnologyEuropean University CyprusCyprus Institute of Neurology & Genetics
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Debbie Winters

Cancer Medicine

BioSkepsis is genuinely impressive. With tools like ChatGPT or Copilot, you still have to search for papers yourself and feed the information in. BioSkepsis does that entire process automatically — it finds the studies, extracts the evidence, and provides the citations so you know the information is reliable. I’d be silly not to use BioSkepsis to help write my thesis.
MP
Michalis Paraskeva

Applied Genetics and Biodiagnostics

BioSkepsis helped me move beyond simply finding papers and allowed me to explore an entire research field in a structured way. The Research Landscape feature was particularly valuable for identifying key themes, emerging trends, and knowledge gaps. As a researcher working in microbiology and bacteriophage biology, I found it to be a powerful tool for literature exploration and research synthesis.
KK
Konstantinos Kounakis, PhD

University of Crete / IMBB-FORTH

I’ve been using BioSkepsis for over six months now: for searching methods and tools for the experiments I’m planning, for finding papers relevant to the manuscripts I’m writing, and for keeping up with newly published literature in my fields of interest. Over this time I’ve seen it evolve into a potent assistant that has saved me dozens of hours of effort. BioSkepsis is great at parsing and extracting information from the literature, as well as identifying semantic relations between papers. In regards to biomedicine, it surpasses general-purpose LLMs and even some dedicated scientific LLMs, and it has the potential to match the top competitors in this field.
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Sarah Emily Bahari

AuDHD Medical Biotechnology Student

As a Medical Biotechnology student, I spend a lot of time navigating scientific papers and trying to make sense of complex research topics. BioSkepsis made that process more efficient by helping me find relevant literature, understand biological mechanisms, and trace information back to its original sources. I particularly appreciate its focus on evidence-based outputs and citation transparency.
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Muhammad Talha

Chemistry Teacher & Trainer, Co-Author of an A-Level Chemistry Book

One thing I would love to appreciate about bioskepsis is that it can make life easy for a research student who has to go through hundreds of articles and research papers and couldn’t get the relevant information out of it. What bioskepsis has done is that it gives us all the relevant information from the relevant papers and you can make excellent progress as a researcher without checking every article that comes in your way but you can select the most relevant ones and can go deep in your own research to compare it with.
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Marilia Soteriou

Pharmacy Student

I genuinely enjoyed using BioSkepsis. I found it really helpful, especially for quickly understanding scientific papers and saving time during research. The interface is clean and easy to use, which makes the whole experience much smoother. I honestly think it has a lot of potential, and I can’t wait to keep using it.
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Stephanie Zoghbi

MRes Student in Bioengineering

Honestly the website is really great and the features are very useful. I was able to play around with them and it’s definitely filling a market need. Overall I could definitely see students and researchers using BioSkepsis because of its advanced features and specific responses tailored to the prompts given.

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How it works

Built like a careful researcher

BioSkepsis is an agentic AI that runs the whole check for you: it understands your result or question, plans the search, reads the literature in full, weighs agreement against conflict, screens for reliability, and returns a cited, verifiable verdict.

BioSkepsis

Understands your result

Reads your result, the system, the perturbation and what you measured, and turns it into the questions the literature has to answer.

Plans the check

Breaks the check into focused sub-questions, then searches broad life-science literature and weights authoritative sources.

Reads in full

Reads entire papers, not just abstracts, to capture the models, methods and context behind each finding.

Agrees or conflicts

Puts each paper beside your result: agrees, conflicts, or unclear, with the mechanisms that could explain the difference.

Screens reliability

Blocks retracted and hijacked-journal sources, flags corrections, and scores what remains on a Trust Index.

Verdict and next steps

A cited verdict on how your result sits in the literature, the caveats, and the experiments that would settle it.

Beyond keywords

Reads the full story, not just the abstract

  • Reads full text content
  • Finds foundational papers
  • Cross-checks key findings
  • Screens retracted & corrected papers

TGF-β signaling in cancer cachexia

Journal of Cachexia, Sarcopenia and Muscle · 2016

Full text

Read in full

AbstractIntroductionMethodsResultsDiscussion

Key findings extracted

Foundational papers

Most co-cited by your sources
  • Smith et al. 2016Foundational study
  • Jones et al. 2014
  • Lee et al. 2018
No retractions1 correction flagged

Literature landscape

Map the full biologySee the real connections

We reduce each paper to the biology it actually discusses (genes, proteins, drugs, diseases, pathways, GO and MeSH terms) and connect papers whose biological fingerprints overlap.

A literature landscape map with seven colour-coded research communities (IL-6/JAK-STAT signaling, TME and myeloid modulation, biomarkers and prognosis, combination strategies, chemoresistance mechanisms, preclinical models, and clinical evidence and trials), each shown as a cluster of connected paper nodes.

Distinctive concepts count more

Connections are weighted by distinctive shared concepts, so closeness reflects topical similarity, not citation habits.

Themes, anchors, bridges

Community detection reveals research themes, anchor papers, and the bridges that link them, plus whether each theme is rising or fading.

Built by the agent

The agent builds the map from curated, full-text sources and weaves it, citation-verified, into your brief.

Evidence you can trust

Every claim is cited, verified, and evidence-typed

Each finding is checked against the source's full text and tagged by evidence type, and every brief gets a Trust Index.

A BioSkepsis brief showing a Trust Index of 82 out of 100, six trust facets, and a table of claims tagged by evidence type with verified citations.
  • Types every finding by evidence strength
  • Verifies citations against full text
  • Scores each brief on a six-facet Trust Index
  • Flags claims backed by multiple sources

Evidence Watch

The literature moves on. You get told when

A brief is true on the day you run it. Add the claims it rests on to a watchlist, and BioSkepsis keeps re-checking them against new literature, so a retraction or a newer meta-analysis reaches you before it reaches your reviewers.

Evidence WatchOn your schedule

3 of 5 claims still hold

but 1 was retracted, and 1 has been superseded.

  • Mechanism claimReaffirmed
  • Efficacy claimStill standing
  • Population claimStill standing
  • Dosing claimSuperseded
  • Safety claimRetracted or flagged
  • Re-checks the claims behind a brief daily, weekly, or monthly
  • Catches retracted sources and published corrections
  • Flags a finding when a newer review or meta-analysis replaces it
  • Emails you only when a verdict actually changes

Lab book

Every result you interpret, kept where you can find it

Each interpretation is saved as a lab book entry: your result beside the literature’s tally, the verdict, and the experiments that would settle it. Come back a month later and re-check it against what was published since.

Lab bookProject: m6A in GBM
  • 20/08/2026METTL3 knockdown in glioblastoma cellsPartly fits
  • 12/08/2026SOX2 overexpression in neural stem cellsFits
  • 02/08/2026IDH1 R132H in immortalised astrocytesConflicts

METTL3 knockdown in glioblastoma cells

12 papers read in full: 8 agree, 3 conflict, 1 unclear. Trust Index 71. Next: rescue with catalytically dead METTL3.

  • Your result beside the literature: how many papers agree, conflict, or are unclear
  • A verdict with a Trust Index, the likely mechanisms and the caveats, kept in one place
  • Re-check any entry against new papers, or watch it with Evidence Watch
BioSkepsisClaude

BioSkepsis for Claude

Run a full literature review without leaving Claude

BioSkepsis is in the Claude connector directory. Ask a life-science question in any Claude conversation and get back a citation-grounded brief from the peer-reviewed literature.

Run a full review

The agent plans your question, searches the literature, and reads full text before it answers.

Evidence, not prose

Briefs come back with ranked and tiered sources, sub-question coverage, and a Trust Index.

Screened for integrity

Retracted papers, hijacked journals, and questioned cell lines are filtered out.

Keep following a topic

Turn a run into a research feed: new related papers by email, daily, weekly, or monthly.

Connect in three steps

  1. 1

    Add the connector. In Claude, open Settings, then Connectors, and add BioSkepsis from the directory.

  2. 2

    Sign in to BioSkepsis. Approve access with your existing account. Your password is never shared with Claude.

  3. 3

    Ask a research question. The brief lands in your chat and in your BioSkepsis account a few minutes later.

Try asking

  • Does KRAS G12C inhibition improve survival in non-small cell lung cancer?

  • What is the evidence that senolytics extend healthspan?

  • Turn that into a weekly feed so I get new related papers.

A run uses one of your monthly research briefs and takes a few minutes, so it suits real research questions rather than quick lookups.

From insight to impact

From conclusions to next steps

Generate testable hypotheses and experiment designs, so you leave with a plan, not just a summary.

  • H1

    IL-6 blockade will reduce muscle wasting in pancreatic cancer by modulating STAT3 signaling.

  • H2

    IL-6-driven cachexia is mediated via myeloid cell-derived factors.

  • H3

    Combination of IL-6 blockade + nutritional support improves survival vs. control.

Microscope and lab flasks