Guide: The ModernVivo Protocol: How to Speed Up In Vivo Experimental Design Literature Review

The ModernVivo Protocol: How to Speed Up In Vivo Experimental Design Literature Review

In vivo experimental design is an incredibly challenging process with several significant roadblocks1. One core obstacle is extracting useful information from huge literature databases. There is an underappreciated diversity in how in vivo experiments are performed depending on the animal model and the specific research question. When coupled with the sheer volume of research papers available on PubMed and Google Scholar, manual literature searches quickly become labor-intensive, inefficient, and fragmented.

Researchers who employ manual methods inevitably review just a tiny fraction of the available literature, design suboptimal studies, and get incredibly frustrated. ModernVivo provides AI-driven automated literature searches to instantly derive important gold-standard parameters for in vivo studies, streamlining research timelines. The ModernVivo protocol is simple. Let’s dive in.

Why You Should Adopt the ModernVivo Software Suite

Ambitious scientists and research teams already embrace AI and automation in many areas of their work2. However, significant gains can be made when integrating new technologies into in vivo study design. AI enables faster, better-designed, and more efficient studies without the need to manually dig through the literature. Manual methods make it challenging to compile protocols from studies conducted decades apart, especially when these studies used different models and had varying laboratory setups. Predicting whether these incomplete “Frankenstein’s monster” protocols will fit together when the rubber hits the road is impossible.

ModernVivo’s AI system converts literature insights into a defined experimental roadmap ready for implementation. It scans entire literature databases instantly and provides a citation-based ranking so users are presented with parameters from the most relevant and impactful studies. If you want to understand the available options, ModernVivo can suggest every study parameter, including dosage scheduling, models, and control groups. AI streamlines the transition from literature review to in vivo experimentation, helping researchers tackle ambitious projects with confidence.

Step 1: Identifying the Right Research Questions

Many scientists arrive at in vivo work without fully understanding their options. This makes it difficult to understand what questions should be asked and whether they can be answered with the available tools. It's normal to feel overwhelmed, but it's important to remember that no one knows everything. ModernVivo is the perfect tool for teams fresh to in vivo work and more experienced researchers who need help filling specific information gaps in their protocols. It’s far easier to figure out the “How” when you already know the “Why.” ModernVivo’s system helps you quickly refine the scope of your project, giving you the best options, removing what you don’t need, and putting you on the most direct path to answering your research question. Here are the steps to follow: 

Search Keywords:

  1. Define Inclusion Parameters: Enter keywords that match your study design and goals, such as species, endpoints, methodologies, and disease area.
  2. Define Exclusion Parameters: Enter keywords you don’t want in your experiment, such as specific tests, species, or study durations.

(Sidebar) Modern Tips: Don’t worry about being too vague or incredibly specific. The ModernVivo system is here to help you, no matter what stage you’re at. Try something as simple as "mouse", "8 weeks old", and “genetic strain,” and go from there. Alternatively, enter specific parameters for your niche research requirements and let ModernVivo generate fine-tuned research protocols.

The ModernVivo search application with example inclusion and exclusion criteria.

Step 2: Narrowing Down Experimental Conditions 

The ModernVivo system will aggregate all experimental conditions for the model you have defined. This information covers the most central parts of the study, such as the model and the assay being performed, but it also covers highly specific yet essential factors like room humidity, light/dark conditions, and the size of needle gauges used. The details matter, and researchers can specify the parameters they want the system to report. Whether you need all the parameters or just one, ModernVivo delivers.

Search Conditions:

  1. Read through the conditions/parameters and check the boxes of the ones relevant to your study.
  2. Click apply.
The ModernVivo search application with several selected conditions.

Step 3: Automating the Search Process

Seasoned scientists are masters at scanning the literature and pulling out the necessary information. Some may even remember when literature searches were done without the benefit of the internet or computers. ModernVivo isn’t here to replace your expertise but to give you the tools to streamline your research process and save time. Experts know the correct information when they see it. ModernVivo lets them see it in moments rather than months by scanning multiple literature databases instantly and retrieving the best results.

Automate Your Literature Review:

  1. Give your search a name that you can easily reference.
  2. This step is the most simple and yet the most transformative: Click search.
The ModernVivo search application with an example search name.
The ModernVivo search application with the search summary page.

Step 4: Reviewing Your Results

The results page contains relevant models with specific parameters listed depending on user-defined inputs from steps 1 and 2. The results list the most pertinent research articles ModernVivo identified from thousands of database entries.

Review:

  1. Scan through the results page to see which papers best represent your research needs.
Example of search results on the ModernVivo application.

Step 5: Filtering and Categorizing Relevant Studies

ModernVivo ranks the most relevant research papers based on citation count, and users can filter studies using a wide range of journal-specific and study-specific parameters.

Filter and Categorize:

  1. Filter out studies using parameters like experimental models and data completeness.
  2. Use tags to categorize the literature results by species used, treatment types, and measurement outcomes.
  3. Continue filtering and refining your search until you reach a protocol that suits your requirements.

(Sidebar) Modern Tips: Don’t hold back! Remember, you need to define one high-quality protocol for your project. Filter and categorize your results until you have precisely what you need. ModernVivo can help update your experimental design as new research emerges.

Example of search results and condition filters on the ModernVivo application.

Get Started Today!

ModernVivo is ready to partner with pioneers in in vivo research. You can begin your journey with us today by signing up for a free demo or consultation. The flexible pricing system makes trying out ModernVivo today simple without worrying about a significant upfront investment. Before you try, it’s worth knowing exactly what the ModernVivo platform is capable of. Check out our case studies to see how our clients have revolutionized their in vivo experimentation approach. Here’s a quick word from a recent client:

“The platform identified exactly what I was looking for”

- CSO at a Small Pharmaceutical Company"

We understand this is a giant leap for scientists who are used to manual approaches. If we haven’t convinced you today, consider signing up for our newsletter to keep tabs on how our clients are outpacing the competition with ModernVivo AI.

Want to speed up your in vivo experimental design literature review?

Try ModernVivo’s platform today.

AI Disclosure: Some of this content was generated with assistance from AI tools for copywriting.

References

1. Moctezuma-Ramirez A, Dworaczyk D, Whitehorn J, Li K, Cardoso CDO, Elgalad A. Designing an In Vivo Preclinical Research Study. Surgeries. 2023;4(4):544-555. doi:10.3390/surgeries4040053

2. Holland I, Davies JA. Automation in the Life Science Research Laboratory. Front Bioeng Biotechnol. 2020;8:571777. doi:10.3389/fbioe.2020.571777

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