How to Make High-quality Scientific Diagrams Fast with AI the Easiest Way
Discover the new SciSpace BioMed Agent and Biomedical Illustrations feature. Learn how this specialized AI streamlines complex workflows like ADMET prediction, gene-disease mining, and creating publication-ready scientific diagrams.
For a visual demonstration of these workflows, you can watch the full review video here.
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Scispace recently updated its platform with two new AI features: the BioMed Agent and a Biomedical Illustrations tool. While the platform’s general AI agent covers broad research tasks, these new additions are designed specifically to handle workflows in biology and medicine.
This post outlines how these tools function, based on a recent video review covering drug discovery workflows, data mining, and diagram generation.
The BioMed Agent: Specialized Research workflows
Users can now select the "Biomedical Research Assistant" from the Scispace homepage. Unlike the general agent, this tool is built to interface with biomedical databases to handle queries related to genes, pathways, drugs, and clinical trials.
The agent operates by generating a research plan, executing steps sequentially, and conducting a literature review to produce the final output. Here is how it performed in two specific test cases.
1. ADMET Prediction and Drug Likeness
For pharmacology tasks, the agent can predict ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) profiles.
In the review, the agent was prompted to analyze a specific drug and compare it to others in its class. The output included:
Step-by-step execution: The agent displayed its search logic and literature sources.
Drug Profile Summary: Detailed physicochemical properties and drug-likeness assessments.
Comparative Analysis: A comparison of the target drug against similar compounds.
Data Visualization: The agent generated a heat map and a formatted table of LogP and molecular weights.
Exportable Data: A downloadable Excel file containing the drug-likeness summary.
2. Gene-Disease Association Mining
The agent also handles data mining tasks that typically require manual searching of databases like DisGeNET.
When tested with a prompt regarding Hypertension, the agent aggregated data to provide:
- A table of top candidate genes associated with the disease.
- Pathways associated with each gene.
- Distribution charts showing the data sources.
- A comprehensive gene ranking Excel file.
Biomedical Illustrations Feature
The new Illustrations feature allows users to generate scientific diagrams and schematics intended for biomedical journals. It offers templates for various disciplines, including Health Sciences, Physics, and Chemistry.
The tool includes "Prepare to Publish" checklists (such as STROBE and CONSORT) and specific diagram generators (e.g., flow cytometry, genomic variant interpretation).
Generating and Editing Diagrams
The review demonstrated the tool's capabilities using two specific templates:
Skin Cross-Section: The AI generated a diagram comparing normal skin to skin treated with castor oil. It visualized specific biological mechanisms noted in the literature, such as barrier repair and oil droplet penetration.
Mouse Brain Anatomy: The tool created a schematic comparing dorsal and ventral views of a mouse brain to summarize the effects of rosmarinic acid.
Users can edit the generated images via text prompts. In the mouse brain example, the AI successfully resized a chemical structure within the diagram without disrupting the layout. The tool also supports uploading existing illustrations for AI-assisted modification.
The Scispace BioMed Agent and Illustrations features offer specialized support for life science researchers. By automating complex searches and diagram creation, these tools aim to streamline the literature review and publication process.
As with all AI tools in research, outputs should be verified against primary sources and used as a draft or aid rather than a definitive final product.
Watch the previous video about Scispace regular AI agent here.
