Revolutionize biomarker research
Causaly helps teams discover, validate, and prioritize promising new biomarkers.
Understand the complete picture of biomedical information in minutes and make stronger decisions about target prioritization.
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Accelerate finding and ranking key biomarkers
Against millions of public sources
Effortlessly perform detailed comparisons
Minimize missing critical details
Of comprehensive, accurate biomarker research reports in minutes
Expedite and improve biomarker research reporting with AI
Pinpoint relevant biomarkers
Probe the biological function, expression patterns, disease association, mechanism of action and more of a biomarker by simply asking questions in Causaly’s scientific AI copilot. Now, scientists can narrow down thousands of biomarkers in hours, not weeks.
Determine biomarker potential
Hone in on the most promising biomarker candidates by using scientific AI to remove false positives and run comparative analyses. Further de-risk selection by narrowing the search based on availability of assays and measurement methods.
Prioritize validated biomarkers
Delve into factors like the biomarker’s disease linkage, class, location of expression, and the availability of preclinical or other experimental data, and have full flexibility to tailor the selection process to your specific needs.
Discover novel biomarkers
Get specific about the types of research you are seeking by asking Causaly to zero in on novel biomarkers for more exploratory projects and focus on biomarkers that are clinically qualified with supporting genetic evidence or demonstrated clinical significance.
Faster, smarter biomarker discovery
Traditional research methods for biomarker discovery are time-consuming — and most often, not comprehensive. Causaly’s advanced AI technology streamlines this process by analyzing vast amounts of biomedical data and presenting the most relevant information.
For example, in a search for ovarian cancer biomarkers, PubMed returned 2,200 papers that you then need to manually narrow down. Causaly returned 71% more results, match-read and understood all of them, and narrowed them down in seconds.
Side-by-side comparison of Causaly versus PubMed in a search for ovarian cancer biomarkers.
AI that surfaces biomarker data and understands it
Causaly’s scientific AI searches and understands all biomedical information, drawing on up-to-date internal and external data in minutes. Now, surfacing relevant information about biomarkers, drug resistance and toxicity is much easier, clearing the path for scientists to create safe and effective drugs for patients sooner.
Comparison of safety biomarkers across chemotherapeutics.
Uncover hidden connections
Even the most brilliant scientists work with limited time and resources. Causaly gives R&D teams a view of all scientific information — surfacing key connections that manual approaches cannot do. Three-dimensional visualizations of its high-precision knowledge graph make target-disease relationships clearer so prioritization decisions are much more informed.
Identifying and prioritizing specific treatment response biomarkers in hepatocellular carcinoma.
Remove human bias from preclinical inquiry
Identifying and prioritizing targets face significant challenges, including disease heterogeneity, stringent validation requirements, and an overwhelming volume of datasets prone to bias. Causaly cuts through the noise to extract only the most relevant insights and dramatically reduce reading time and bias, ensuring that target identification and prioritization are always based on reliable data and allowing R&D teams to accelerate drug discovery and development.
Comparing Causaly to PubMed in an exploration of the off-target effects of the BRAF gene.
"I use Causaly to identify suitable biomarkers and get an idea of feasibility for use in first-in-human dose trials and Phase 1 trials. Manual research in PubMed and Google takes significantly longer and the risk of missing out on something important is much greater."
See how Causaly enhances biomarker discovery
Standardize and automate with hyper-efficient, intelligent research tools
Generative AI Copilot
Ask questions in simple, natural-language and obtain robust, cited answers on causal relationships, relevance, and more from internal and external data.
Enterprise Data Fabric
Stay on top of a research area with customizable alerts that notify users the moment new information appears or existing information changes.
Knowledge Graph
Organize facts and relationship triplets across hundreds of semantic categories with the largest, high-precision knowledge graph for scientists.
Team Workspace
Collaborate across multidisciplinary teams and easily share novel findings, data, and resources to create a holistic view of disease mechanisms.
Get to know Causaly
What would you ask the team behind life sciences’ most advanced AI? Request a demo and get to know Causaly.
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Unlock scientific insights from external and internal information at unprecedented levels of precision and efficiency.