AI-powered platform for oncology data structuring
Products
How does it work?

Step 1
Anonymize DataAnonymization ensures oncology data can be safely shared and analyzed.

Step 2
Automatic StructuringLLMs convert medical documents into structured data.

Step 3
VisualizePreset dashboards and analyses to show trends, treatment, and outcomes.
Products
Use Cases

Fast- generative of scientific publications by structuring datasets ready for research
Transforming unstructured oncology records into standardized, analysis-ready datasets that accelerate evidence generation.

RWD Hypothesis generation and retrospective studies
Enabling fast and reproducible research across diverse cancer settings

Therapy comparison / Evaluation of RWD vs Clinical Trial End-point
Empowering researchers to uncover clinical patterns and generate data-driven hypotheses.

RWD Population Outcome-based Analysis
Supporting therapy comparison and evaluation of real-world outcomes versus clinical trial endpoints.

Feasibility studies using structured historical data
Quickly assess past patient volumes, staging, and treatments across oncology cohorts — providing solid, data-backed input for trial feasibility planning.

Site selection support with real-world insights
Identify hospitals with higher concentrations of eligible patients by leveraging structured EHR data — optimizing site strategy with precision.

Faster patient recruitment through pre-screening
Use AI-powered pre-screening to match anonymized patient profiles against trial criteria — accelerating recruitment and improving enrollment outcomes.

...or just ask Danny.
See our Interactive Chat.
Danny DataStruct chat helps you analyze trends, outcomes, cohorts, test hypotheses, and generate reports.
Interactive Chat Demo
Ask Danny
How common is surgery as a treatment in the 2nd stage of breast cancer?
How many patients underwent radiology therapy in 2022 for lung cancer?
How many patients switched from chemotherapy to immunotherapy after progression?
How many triple-negative breast cancer patients are diagnosed at the age of 40?
What is the clinical benefit of immunotherapies for lung cancer?
What is the most commonly used therapy kind for 4th-stage lung cancer?
Products
Features

AI Models Automatic Data Structuring
Converts free-text oncology records into structured, searchable data into hospital’s database

Analytics
Generate exportable insights for research, reporting, and dashboards

Interactive Chat
Engage with your data using natural language queries and get fast insight

Research-Ready Output
Structured datasets aligned with oncology and hematology research, clinical development, and decision-making.

Data Ingestion
Seamlessly integrates data from any type of documents- OCR, PDF, XMLS, etc.
Benefits
Benefits
Time-saving automation
Automatically transform clinical data into structured formats – fast and efficiently
Streamline research
Focus on science. Eliminate administrative work and spend time on scientific research
LLMs-powered accuracy
Proprietary LLMs ensures data is clean, structured, and highly reliable for oncology research
Ready-to-publish results
Deliver high-quality real-world insights with trend analyses and publication-ready visualizations
Experience Danny DataStruct and its benefits for your organization
Oncology Medial Records
AI Models Accuracy
Languages
Technology
Proprietary LLM Algorithms
Danny DataStruct is an AI-powered platform built for all cancer types to accelerate research. With over 95% model accuracy, it transforms unstructured oncology data into research-grade datasets.
AI Models Accuracy
Structuring oncology data for
real-world evidence generation
Languages
AI models accurately translate and interpret clinical documents across multiple countries
Oncology Parameters
Across multiple solid and
hematologic cancer types
Clinical Impact
Empowering researchers to generate evidence and improve patient outcomes
Security
Security & Compliance
Enterprise-grade security built for healthcare. Your data stays private, protected, and fully compliant — no compromises.
On-Premises Solution
- Hosted fully on-premises
- Patient data stays within hospital networks
Encryption & Data Anonymization
- Built-in anonymization tool
- No patient-identifiable data stored
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Get in Touch
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