Bioinformaticians
As a bioinformatician, you are of the biomedical research transformation. Our platform is designed to help you navigate through complex data, reconcile contrasting findings, predict potential bioinformatics trends, and design advanced algorithms with ease and precision. With Causaly, uncover intricate biological correlations, identify hidden patterns, and generate actionable insights faster than ever before. Join us in accelerating biomedical research and enhancing data-driven insights, driving the future of bioinformatics and contributing to breakthroughs in healthcare and life sciences.
Interpret Data Efficiently
Use AI to analyze vast amounts of scientific data and understand complex biological entities.
Rapid Data Interpretation
Analyze vast amounts of data at scale, and speed up the process of data interpretation and insights extraction.
Comprehensive Insights
Develop a comprehensive understanding of complex biological data, extracting valuable insights and uncovering hidden connections that may have been missed using traditional methods.
Scalable Analysis
Scale your data analysis efforts, to efficiently handle large datasets and increase research productivity.
Validate Pipelines
Cross-check computational models against existing evidence swiftly and accurately through hidden connections in the literature.
Enhanced Pipeline Validation
Validate internal pipelines by leveraging a wealth of curated biomedical information, testing and refining computational algorithms and methodologies rigorously.
Efficient Error Detection
Detect and rectify potential errors within your pipelines, ensuring the accuracy and reliability of your computational analyses.
Robust Algorithm Validation
Validate your internal pipelines by comparing the results with known cause-and-effect relationships, to strengthen the scientific validity of your algorithms.
Generate Hypotheses
Uncover hidden connections, generate novel hypotheses, and identify potential novel functions of genes, proteins, or other biological entities.
Insightful Hypothesis Generation
Generate novel hypotheses by uncovering hidden cause-and-effect relationships in biomedical literature, leading to innovative research directions.
Data-Driven Exploration
Explore data-driven hypotheses based on the rich biomedical information available, expanding your research possibilities.
Accelerated Discovery
Accelerates the process of hypothesis generation by gaining a deep understanding of complex biological systems and making significant discoveries faster.
Extract Insights
Access the most recent and relevant findings, leading the way in your field.
Access to Latest Research
Stay at the forefront of your field by accessing the latest biomedical research and extract cutting-edge insights.
Uncover Emerging Trends
Identify emerging trends and patterns in the literature, and extract novel and impactful insights.
Integrate Diverse Data Sources
Integrate diverse data sources, including 35m+ abstracts, 5m+ full text papers, 400k+ clinical trials, patents, pre-prints, GWAS catalog and more.
Interpret Data Efficiently
Use AI to analyze vast amounts of scientific data and understand complex biological entities.Rapid Data Interpretation
Analyze vast amounts of data at scale, and speed up the process of data interpretation and insights extraction.
Comprehensive Insights
Develop a comprehensive understanding of complex biological data, extracting valuable insights and uncovering hidden connections that may have been missed using traditional methods.
Scalable Analysis
Scale your data analysis efforts, to efficiently handle large datasets and increase research productivity.
Bioinformatician Resources
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From AI to Impact: How GPT Applications are Accelerating Drug Discovery
Causaly cofounders Yiannis Kiachopoulos and Artur Saudabayev hosted a webinar, “From AI to Impact”, in April 2023, exploring the transformative power of AI and GPT applications in early drug discovery. During this captivating session, they demonstrated how Causaly combines visual evidence with high precision knowledge graphs to answer complex research questions in mechanistic biology.
How LLMs like ChatGPT impact Causaly’s approach to biomedical knowledge discovery and acquisition
At Causaly, we stay close to the developments in the foundational natural language processing technologies and broader AI to understand where we stand with both academic and industrial state-of-the-art.
How AI is redefining hypothesis generation in pharma research
It is widely recognized that the Scientific Method is fundamental for discovering new medicines. We’re all familiar with the process: a researcher poses a question, such as what causes a specific disease, then gathers all relevant information that is known about their question. Upon digesting this information, they formulate a hypothesis and design experiments to […]
Causaly announces ISO 27001 certification
We are proud to announce a major milestone for Causaly: successfully passing ISO 27001 certification.
Roche and Causaly Webinar: AI for smarter portfolio management
Pharmaceutical research is inherently risky and failed or discontinued projects are an inevitable part of the R&D process. A key challenge is that competitive information and the biological validation necessary to decide on target selection and clinical development is often unavailable in a timely or holistic manner.
Leveraging AI in early stage drug discovery and due diligence: Autobahn Labs & Causaly webinar
Causaly and Autobahn Labs – an early stage drug discovery incubator launched by Evotec, Samsara Biocapital and KCK – co-hosted a joint webinar on the 29th of June
The Causaly Machine-Reading Platform: From finding documents to finding evidence – ODSC
Causaly’s CTO, Artur Saudabayev, hosted an ODSC seminar on the 30th of March addressing the problem of the rapidly growing body of knowledge in biomedicine and the inability of current research methods to accommodate this growth.