Throughout the years, researchers have developed a wide variety of tools to help them study the human body and develop cutting-edge treatment options. These tools range from computer simulation software to image processing software that enables physicians to better understand medical data like MRIs and X-rays. They also include biomedical research data analysis packages that can help doctors identify patterns and trends in large medical datasets.

Some biomedical research tools and techniques these tools are designed to help researchers save time and money on traditional testing by using computers to simulate biological processes. In silico modeling is one such tool that can help researchers quickly test drugs for side effects and risks without having to conduct a full clinical trial, which can take months or years to complete. Other tools may include 3-D cell cultures or organoids, which can mimic the structure of a human’s cells to provide a more accurate representation of what’s happening inside the body when testing drug efficacy and toxicity.

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Other tools for biomedical researchers can make it easier to analyze a vast amount of data, including biomedical knowledge graphs and text mining systems. For example, Orpheus, a biomedical knowledge graph from Wisecube, uses machine learning and expert curation to accumulate tens of billions of facts on 85 million entities. The resulting state-of-the-art biomedical knowledge base can be used to uncover novel biological insights and empower research and development teams. Another biomedical research knowledge management system is Biolink Model, which uses a standardized data model and an ontology to collect and represent biological knowledge. It can be downloaded from its GitHub repository.