AI for
Scientific Figure Creation

Go from a single prompt to clear, structured Signaling MoA figures in minutes, without manually moving a single arrow.

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Figure Generation Assistant for Life Sciences

Provide text prompts or reference images/files to generate life science visuals with one click
Prompt Examples
Generated PD-1/PD-L1 checkpoint blockade graphical abstract

Complete Your
Preparation in a Single Request.

See how Noah fetches relevant papers from PubMed and automatically organizes the evidence into a structured, presentation-ready figure for your research.

Noah.bio

Search Summary:

Search recent and authoritative literature to confirm the canonical PD-1/PD-L1 checkpoint blockade mechanism, key immune-cell interactions, and cytotoxic effector outputs needed for an accurate publication-ready biomedical illustration.

PubMed Search Term:

PD-1 PD-L1 checkpoint blockade tumor microenvironment CD8 T cell perforin granzyme apoptosis

Complete Biomedical Figure Workflow

Render Figure
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Dual Illustration Modes for Biomedical Figures

Noah provides two adaptive figure modes to match your specific publishing needs. Choose Visual Mode to create stunning, attention-grabbing illustrations, or Logic Mode to build high-density diagrams that clearly map out your data.

Polished visual mode biomedical illustration example

Image quality

Create publication-ready visuals with enhanced aesthetics and professional design. Ideal for journal covers, presentations, science communication, and high-impact visual storytelling.

Polished visuals
Best for covers and science communication

Content density

Pack more biological context and mechanistic insights into a single figure. Ideal for explaining complex pathways, cellular interactions, and disease mechanisms in research and education.

Richer information
Best for mechanism explanations and teaching

High-density logic mode biomedical diagram example

Seamless Iterations, Precise Perfection

Skip the steep learning curve of Illustrator, Photoshop, or Procreate just to tweak minor details, and focus instead on cultivating your unique aesthetic.

Noah.bio
Initial GLP-1 mechanism figureRefined GLP-1 figure with simplified layoutPublication-ready GLP-1 figure with anatomical detail

Create a publication-style biomedical metabolic mechanism figure showing the mechanism of incretin-based therapies in obesity and metabolic regulation.

Enter prompt...

Image quality

Whenever an improvement comes to mind, simply describe your vision to Noah. Noah flawlessly executes every granular adjustment. With a generation time of just 1–2 minutes, it saves researchers and students invaluable hours on scientific illustration.

Search 4M+ Papers from Trusted Sources

View or download all cited references with one click.

You can also upload your own data and files, so Noah can generate figures based on your materials.

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Explanation of image content and scientific context

  • Left panel (immune suppression): A dendritic cell engages a CD8+ T cell via TCR–MHC, while PD‑1 on the T cell interacts with PD‑L1 on adjacent tumor and myeloid/stromal cells, depicting inhibitory checkpoint signaling that attenuates TCR‑mediated activation and effector function12. PD‑L1 on antigen-presenting cells (e.g., dendritic cells) and macrophages is shown as part of the suppressive network in the tumor microenvironment345
PUBMED2

Incretin impact on gastric function in obesity: physiology, and pharmacological, surgical and endoscopic treatments.

The aims of this review are to appraise the role of the stomach in satiation, the effects of incretin and other hormone agonists on weight loss, and the role of altered gastric…

References Overview

References are sorted by relevance and quality.

Progress in understanding the regulatory mechanisms of immune checkpoint proteins PD-1 and PD-L1 expression.

Programmed Death Protein-1 (PD-1) is a cell surface receptor that serves as a checkpoint for T cells, playing a pivotal role in regulating T-cell apoptosis. The binding of PD-1 to its ligand, Programmed Death-Ligand 1 (PD-L1)...

PMID: 39776397IF: 2.5

Author: Wu Xuanxuan X, Zhu Zengjun Z, Zhang Jian J, Tian Maojin M, Zhao Peiqing P

2025-01-08

Complex regulatory network of programmed death-ligand 1 in cancer: Cancer immunomodulation from molecular mechanisms to clinical applications.

Immune checkpoint therapy targeting PD-L1/PD-1 represents a key cancer treatment strategy. PD-L1 binds PD-1 on T cells, suppressing activation and enabling tumor immune escape...

PMID: 39776397IF: 2.5

Author: Wu Xuanxuan X, Zhu Zengjun Z, Zhang Jian J, Tian Maojin M, Zhao Peiqing P

2025-01-08

Can AI-generated scientific images be directly submitted to journals or published in research papers?

Top biomedical journals (such as Nature, Elsevier, and Springer) enforce a strict zero-tolerance policy against AI-generated raw data to prevent data fabrication. However, leading medical frameworks like ICMJE and WAME welcome the use of AI as an augmentation tool for non-data visuals.

That's why we recommend leveraging Noah to seamlessly design your Graphical Abstracts, Mechanism/Pathway Diagrams, Grant Proposals, and Presentation Slides. When submitting these conceptual visuals, simply include Noah in your AI disclosure statement to ensure a risk-free, fully compliant publication process.

Frequently asked questions

Have Questions About Noah AI? Explore Comprehensive Answers Here

Most subscribers use Noah in three ways:
1. Agents – to run complex, multi-step research workflows.
2. Search – to quickly retrieve and summarize evidence from PubMed, clinical trials, and medical guidelines.
3. Databases – to explore clinical trial results and pharma pipelines with AI-assisted analysis.
Noah uses the best model for each task, choosing from top LLMs like GPT, Claude. As models evolve, we test and update continuously—so our users always work with the most advanced technology available.
Use Search when you need:
  • A fast answer
  • A focused evidence check
  • Quick summaries with citations
Use Agent when you need:
  • End-to-end analysis
  • Comparison across multiple studies or competitors
  • Reports you can present, defend, or reuse
Most Pro users combine both: Search for speed, Agent for depth.
Noah is designed for generating high-quality answers, not just speed. Search analyzes your intent, filters for high-value sources (like PubMed papers with strong impact scores), and then delivers concise, reliable summaries. Agent goes further — planning the task, running multiple search and database cycles, and self-checking results to produce a thorough, professional report.
Noah's Database draws on a wide range of publicly available and trusted sources, including press releases, medical conference materials, government filings, industry conference reports, clinical trial registries, peer-reviewed journals, and reputable news outlets.
Noah is built for professional medical and life-science work, not casual Q&A. It delivers structured, reusable analyses backed by PubMed, clinical trials, and guidelines, with verifiable citations—so results are reliable, defensible, and ready to use.
Free AI tools generate text. Noah delivers evidence-based reports and replaces repetitive manual workflows.
Starter – if you want to validate ideas or try Noah occasionally.
Pro – if research is part of your regular workflow (most popular).
Elite – if you or your team rely on high-volume, high-stakes research.
Yes. You can cancel at any time from your account settings. Your plan will remain active until the end of the current billing period and you won't be charged again.
You can join our discord community (https://discord.gg/Fg3gWKX8nS) to share feedback and join discussions, or contact us directly via email (support@noah.bio).