What Are Medical Avatars?

Built upon our proprietary Deep Integrated Network Analysis (DINA), Medical Avatars capture comprehensive biological insights by integrating vast single-cell RNA sequencing (scRNA-seq) datasets. This enables the accurate simulation of disease progression and treatment responses at a cellular and molecular level.

Powered by DINA Technology

Mavatar’s Medical Avatars, known as Digital Twins, are virtual representations of individual patients and their diseases. Created through advanced AI algorithms, these digital models replicate the precise molecular and cellular interactions unique to each patient’s condition.

Personalized Treatment Matching

Clinicians leverage Medical Avatars to virtually test hundreds of potential treatments against a patient’s precise molecular profile. This personalized drug-matching capability provides a highly tailored list of optimal therapeutic options, significantly improving patient outcomes by predicting treatment effectiveness with exceptional accuracy.

Real-Time Clinical Integration

Medical Avatars function seamlessly within the clinical workflow:
1. A clinician orders a routine blood test to measure specific protein biomarkers.
2. Biomarker data is instantly analyzed by Mavatar’s platform, creating the patient's digital twin.
3. Optimal drug treatments are recommended in real-time, enhancing clinician decision-making.

Transformative Clinical Applications

Medical Avatars are pivotal in managing complex conditions, including:

• Cancer (e.g., breast cancer, lung cancer, melanoma, lymphoma)

• Immune-mediated inflammatory diseases

• Infectious diseases (e.g., COVID-19)

Accelerating Drug Development

Beyond clinical applications, Digital Twins accelerate pharmaceutical research by:

• Identifying precise drug targets and biomarkers.

• Facilitating drug repurposing through predictive modeling.

• Improving success rates in clinical trials by accurately identifying patient subgroups.

Mavatar’s Medical Avatars offer unprecedented precision in healthcare, enabling tailored treatments, improving patient outcomes, and dramatically advancing the potential of personalized medicine.