FAQ

Mavatar leads the personalized healthcare revolution across all diseases, from research to patient care. Our mission is to empower healthcare providers and patients to make informed treatment decisions, leading to healthier outcomes. Mavatar distributes its technology through two platforms: MAVATAR DISCOVERY for research and MAVATAR PRECISION for clinical use.

Our proprietary method, DINA (Deep Integrated Network Analysis), sets us apart. DINA distills signals from thousands of datasets into a refined and structured summary, rather than merely listing known information. This reveals molecular relationships and mechanisms across tissues, diseases, and species, overcoming limitations common in AI algorithms that often lack biological interpretability. DINA transforms raw data into actionable insights, accelerating precision medicine and drug development.

 Mavatar Discovery is designed to support: 

·       Pharmaceutical & Biotech Companies looking to optimize drug discovery and clinical trials. 

·       Contract Research Organizations (CROs) seeking data-driven insights for trial efficiency. 

·       Academic & Translational Researchers investigating disease mechanisms and biomarker discovery. 

Mavatar Discovery helps stratify patients into subgroups and rapidly assess if a drug has potential for advancement to later development phases. The platform can also identify overlapping disease mechanisms, suggesting opportunities for drug repurposing. By offering a fully integrated resource that uncovers hidden relationships between genes, diseases, and treatments, Mavatar Discovery accelerates precision medicine and drug development.

Unlike many other actors that offer computational tools that often require customization and/or manual integration, Mavatar Discovery is a turnkey solution that works out of the box, no complex set up required. But that’s not all. What truly differentiates us from other research platforms are:  

·       Deep integrated network analysis on all disease mechanisms, such as genes and signaling pathways. 

·       Curated, actionable insights – rather than just raw data or a mere interface to existing public databases, our powerful algorithms will translate large amounts of molecular data and deliver new insights in a data driven format.  

·       User-friendly tools that reduce reliance on specialized bioinformatics expertise.

The platform is based on transcriptomics datasets from microarray and bulk RNA sequencing studies and provides both disease-specific and disease-agnostic gene interaction networks in a wide selection of tissues and conditions, coupled with clinical trial data. 

At the core of Mavatar Discovery is DINA (Deep Integrated Network Analysis), our proprietary framework built on 20+ years of scientific expertise. DINA integrates and analyzes thousands of transcriptomic datasets to model disease mechanisms at a systems level—delivering: 

·       Gene level networks by tissue and disease 

·       Functional enrichment tools with full traceability back to raw data 

·       Overlapping networks across diseases for broader insights 

·       You get curated, structured results—not just raw data or pre-packaged database queries.  

·       New features and capabilities added continuously as we shape the future of research 

Our approach also ensures high reproducibility, enables more accurate translation between animal and human studies, allows us to compare different diseases affecting the same tissue, and how the same disease presents in different tissues etc. 

 
Mavatar uses a combination of machine learning/artificial intelligence, and traditional statistics to identify interactions between genes (and by extension data-driven cellular pathways). Key to our work is the integration of large datasets, in combination with a strong background in biomedical sciences, ensuring that our results are both well-supported statistically and scientifically sound.  

Mavatar Discovery helps you: 

·       Identify novel biomarkers and therapeutic targets 

·       Understand disease biology across tissues and conditions 

·       Explore complex gene interactions with ease 

It’s a complete, cloud-based solution that transforms months of research into minutes of actionable insights—ready to use from day one. 

Mavatar Discovery includes:  

·       Smoothly visualised gene correlation networks based on large amounts of real-world data, enabling accessible insights into gene interactions relevant to your research. Discover conserved gene expression patterns across or within conditions!  

·       Choose your gene or gene set and browse the complete set of interactions within a tissue, or a disease x tissue combination  

·       Looking for even more insights? Springboard into the datasets where the interaction is strongest, instead of spending hours (or years!) sifting through databases and running analyses 

·       Cross-tissue comparison betwen selected network and other networks in our database 

·       Easily view gene expression patterns across samples within selected dataset 

·       Access condensed gene information at glance 

·       New features and capabilities added continuously as we shape the future of research 

 Yes! Mavatar Discovery values user feedback and continuously evolves based on user needs. Users can suggest new features through:  

·       Customer support channels for direct feature requests.  

Mavatar Discovery is a cloud-based platform accessible through a secure web interface. Users can log in, explore networks, and run analyses directly from their browser. 

User can export their findings to png and svg (vector graphics). They can also customizable coloring and layout including pre-set themes that can match publication graphic requirements etc.  

Yes, users can securely upload gene sets and their differential regulations for subsetting local networks. 

Depending on the complexity of the query, results can be generated in seconds to hours, significantly reducing the time required for traditional analysis. Is the tissue / disease you are interested in not precalculated in Mimer Discovery yet? Contact us and we will be happy to arrange a project together for a custom data survey and network construction. 

: License agreement price between $10,000 and $ 25,000, depending on type of user. Additional fee per additional user (between $ 1, 000 and $4,000 depending on number of users) Contract period 1-year, automatic renewal. FOC test period of 7 days 

It can support with:  

·       Accelerate drug discovery & development by identifying novel biomarkers and therapeutic targets. 

·       Optimize clinical trial design with data-driven patient stratification and predictive modeling. 

·       Reduce time and costs by leveraging curated multi-omics data and automated analysis. 

By offering unique insights into gene interactions that are the strongest among many samples across many studies, Mavatar Discover can show you the neighborhood of genes strongly correlated with a drug target. This can give pointers to the wider effect of a treatment, especially when coupled with the features of further exploring the public datasets with strong interactions. 

Explore your intended target’s activity in multiple tissues and conditions before running trials to gauge the effectiveness or unintended effects of adjusting the target expression. Or, explore thousands of genes in many tissues and conditions, find important genes or gene clusters, and drive hypotheses at lighting speed. 

Along with the impressively summarised gene network, we also present the individual datasets’ contributions to each edge: this variability can be a powerful starting point for the customer’s stratification efforts. 

Biomarkers of interest can be investigated in terms of their connectivity as well as connections to closest neighbours. as well as how tissue and/or condition specific their interactions are. 

Mavatar Discovery is largely based on transcriptomic data available at NCBI Gene Expression Omnibus. We aim to keep our networks up to date as new data is made available there, and we aim to incorporate other data sources in the near future for additional analytical power. 

Mavatar Discovery can support with:  

·       Enhance trial success rates by identifying patient subgroups most likely to respond to treatment. 

·       Offer clients cutting-edge data-driven biomarker discovery to differentiate from competitors. 

·       Streamline data analysis with automated insights, reducing manual bioinformatics work. 

Save time and money by diving into our gene interaction networks, synthesised and carefully calculated from large amounts of data, instead of finding datasets yourself and analysing them one by one. Seamlessly explore the most informative datasets where gene interactions are most prominent, without the need for manual data collection or time-consuming analyses. 

Mavatar Precision is our clinical platform providing healthcare professionals access to our disease models. This platform enables personalized prescribing decisions through a simple blood test and customized medical avatar simulations. Mavatar Precision is ready for deployment and features a user-friendly interface with drug recommendations ranked by predicted effectiveness.

Mavatar Precision empowers healthcare providers to make better-informed treatment decisions, potentially reducing risks and enhancing predictability of outcomes. By offering personalized treatment recommendations, Mavatar Precision supports more effective and patient-centered care. The platform can integrate with hospital Laboratory Information Management Systems (LIMS) and meets all regulatory requirements.

DINA is Mavatar's proprietary method for analyzing and integrating vast biomedical data. Instead of processing individual datasets separately, DINA synthesizes signals from thousands of sources into a structured, quantitative representation of molecular relationships. Built on 20 years of scientific expertise, DINA reveals both known and previously unknown biological mechanisms.

Traditional methods often require manual curation and integration of data from multiple sources. DINA is a large-scale data analysis framework that automatically integrates and analyzes publicly available data, such as transcriptomic studies and scientific publications. It provides numerically and data-driven molecular relationships calculated internally, resulting in comprehensive, curated disease mappings.

Initially, Mavatar focuses on disease models for:

• Lung cancer

• Breast cancer

• Lymphoma, and

• Melanoma.

However, our technology has the potential to be applied broadly across many diseases, spanning research to patient care.

Yes, Mavatar's technology can identify overlapping disease mechanisms, highlighting potential opportunities to repurpose existing drugs for new diseases. This capability can accelerate the development of treatments across various conditions.

Key benefits include:

• Faster and deeper insights into disease mechanisms and potential treatments

• Personalized treatment decisions based on individual-specific data

• Accelerated drug research and development through identification of potential targets and repurposing opportunities

• Enhanced efficiency and precision in healthcare delivery

• More sustainable and ethical healthcare solutions by avoiding ineffective treatments

Mavatar contributes to precision medicine by creating personalized digital twins based on analysis of biological data. This enables a deeper understanding of individual disease mechanisms, facilitating optimal treatment choices for each patient. Our PRECISION platform provides clinicians with tools for personalized decision-making aimed at reducing risks and improving patient outcomes.

Handling confidential patient data is paramount for Mavatar. We manage all data in compliance with relevant laws and regulations, including GDPR. Our platforms are designed to protect patient information and ensure confidentiality at all stages.

Mavatar contributes to precision medicine by creating personalized digital twins based on analysis of biological data. This enables a deeper understanding of individual disease mechanisms, facilitating optimal treatment choices for each patient. Our PRECISION platform provides clinicians with tools for personalized decision-making aimed at reducing risks and improving patient outcomes.

Mavatar maintains clear data protection and usage policies that ensure transparency and safeguard user information. These policies cover how data is collected, stored, processed, and protected. Detailed information on our policies will be available on our website.