BioSkepsis AI
Interpret your results with the power of 25.6 million scientific publications at your fingertips
Rethinking Biomedical Discovery with AI-Powered Insights
BioSkepsis Artificial Intelligence (initially named AI Insights and recently renamed to BioSkepsis.AI) comes from bio = biology and skepsis = a Greek word that means critical thinking. BioSjepsis.AI is an advanced AI-driven research intelligence platform developed by EFEVRE TECH LTD. It is designed to transform the way researchers, clinicians, and biotech innovators interact with biomedical knowledge.
In today’s fast-moving world of biomedical and life-science research, the challenge isn’t a lack of data it’s the overwhelming volume, complexity, and fragmentation of it. Every year, millions of new scientific articles flood PubMed, yet researchers still spend countless hours sifting through abstracts, cross-referencing terms, and validating findings across multiple sources.
At its core, BioSkepsis.AI combines:
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Natural Language Processing (NLP) trained on biomedical literature
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Named Entity Recognition (NER) to identify genes, proteins, diseases, and molecular functions
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Ontology-based Classification (Molecular Function, Biological Process, Cellular Component)
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Smart Semantic Search and ranking for PubMed literature
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AI-powered Summarization that extracts what matters most
How BioSkepsis.AI Works?
BioSkepsis.AI offers a wide range of applications for life-science researchers, clinicians, and biotech innovators. In drug discovery, the platform helps identify molecular pathways connected to emerging therapies, enabling faster and more targeted development efforts. For disease research, it uncovers complex connections between genes, proteins, and disease biomarkers, giving scientists a clearer understanding of disease mechanisms. In diagnostics development, BioSkepsis.AI accelerates the validation of candidate markers by instantly summarizing literature evidence across thousands of publications. It also transforms the process of conducting literature reviews, providing structured, AI-assisted insights that save weeks of manual effort.
The workflow of BioSkepsis.AI is designed to be intuitive and efficient. Researchers simply input a query, for example, “BRCA1 apoptotic process” to begin the process. The platform then retrieves the 100 most relevant PubMed abstracts using advanced semantic ranking, ensuring that results are both accurate and contextually meaningful. Then, after the user identifies the desired filters, it classifies key terms that help the AI platform organize findings into categories such as molecular function, biological process, or cellular component. With this structured foundation, AI-powered summaries present the most important insights in a clear, concise format that researchers can immediately act upon.
The Project with the proposal number ENTERPRISES/0223/Sub-Call1/105 and project acronym VITALE is funded by the European Union Recovery and Resilience Facility of the NextGenerationEU instrument, through the Ίδρυμα Έρευνας και Καινοτομίας/Research and Innovation Foundation.