DAiNA: Personalized Cancer Care Platform
DAiNA helps healthcare providers and medical practices coordinate individualized cancer therapies. It is designed for teams needing to integrate complex molecular data into clinical decision-making.
At a glance
- Category
- Healthcare
- Best for
- Medical Practices, Healthcare Providers, Precision Oncology Teams, Clinical Research Organizations
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Personalized Treatment Selection, Predicting Therapy Resistance, Individualized Vaccine Development, Functional Treatment Validation
- Official website
- daina.com
DAiNA is an AI-driven platform designed for precision oncology. It integrates multiple types of biological data—including genetic, transcriptomic, proteomic, and functional biomarkers—to help clinicians understand the molecular profile of an individual patient's tumor.
The software is intended for medical practices and healthcare providers who require insights beyond traditional genomic profiling. By analyzing protein signaling networks and tumor evolution, the platform is designed to help guide treatment decisions and anticipate potential therapy resistance.
DAiNA also serves as an orchestration layer for "N=1 medicine," connecting clinical teams with biotechnology innovators and manufacturing partners to support the development of personalized interventions, such as custom vaccines or CAR-T therapies.
Buyers should confirm specific regulatory requirements for their region, as the platform is designed to comply with US, EU, and Swiss standards, and verify how the ex vivo testing system fits into their existing laboratory workflows.
Key Features
Combines genetic, transcriptomic, proteomic, and functional biomarkers to characterize tumors.
Uses artificial intelligence to interpret complex biological data and provide data-informed treatment recommendations in real time.
A system designed to evaluate how individual tumors respond to different treatments outside the patient's body.
Coordinates the design and GMP-compliant manufacturing of individualized therapies between clinicians and partners.
Analyzes data to identify approved drugs that may be repurposed for off-label use based on a patient's specific tumor profile.
Use Cases
Using integrated molecular signatures to help clinicians select therapies matched to a patient's specific tumor biology.
Analyzing tumor behavior and evolutionary dynamics to help anticipate how a cancer may develop resistance to a given treatment.
Supporting the workflow for designing and producing personalized cancer vaccines.
Using ex vivo testing to observe tumor responses to therapies before they are administered to the patient.
Best For
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
DAiNA uses AI to integrate genetic, proteomic, and functional data to provide personalized treatment recommendations for individual tumors.
It is designed for medical practices, clinical oncology teams, and healthcare providers focusing on precision medicine.
The platform acts as an intermediary that connects clinical teams with biotech innovators and GMP-compliant manufacturing partners.
Source category: Healthcare
Source subcategory: Analytics & Reporting
