Unlock the
potential of AI
in medical science

We deliver professional medical data labeling services and
state-of-the-art software in the healthcare industry.

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Our labeling services

Elevating tomorrow's AI power
Medical Imaging
  • Expert identification of anatomical structures.
  • Classification of abnormalities, including tumors and lesions.
  • Annotating images such as X-rays, CT scans, MRIs, and more.
Electronic Health Records (EHR)
  • Convert unstructured or raw clinical data into organized, searchable formats.
  • Label and categorize data with standardized codes.
  • Annotate clinical notes for entity recognition and sentiment analysis.
Electronic Health Records
Biological Science
  • Genomic data annotation for variants, mutations, and variations.
  • Protein function classification in terms of structures, interactions.
  • Cellular mechanism labeling and annotating cellular processes.
Drug Discovery
  • Annotating chemical structures with physicochemical characteristics.
  • Characterizing protein-ligand interactions and affinities.
  • Annotating bioactivity and toxicity profiles of molecules with selectivity.
  • Labeling clinical trial data (e.g., adverse events, endpoint events).

Our Solutions

Ensure data security and labeling efficiency

• Supported annotation formats

We support a wide range of popular formats, including image files (JPEG, PNG), video files (MP4, AVI, MOV), data formats (JSON, XML, CSV, HDF5), and medical images (DICOM). This ensures easy integration with various machine learning tools and workflows.

• Efficiency and Accuracy

With a network of over 2,000 doctors and customized services on our platform, we ensure efficient, accurate, and cost-effective annotation services.

• Privacy and Security

We support secure connections to your AWS or Azure storage, with our platform having read-only access. This ensures your data remains private and protected at all times.

Harnessing the power of AI

The latest applications

1. Detect nodules or abnormalities in lung CT scans to diagnose early signs of lung cancer with pre-trained CNN model like ResNet or VGG.
2. Segment brain tumors from CT scans to identify the affected regions with U-Net.
3. Automatically detect COVID-19 pneumonia from chest CT images with EfficientNet or InceptionV3.

1. Predict molecular properties such as solubility, toxicity, or binding affinity with a SMILES string

AuroraGPT: With one trillion parameters, AuroraGPT (also referred to as "ScienceGPT") is expected to assist researchers in fields like biology, climate science, and cancer research by streamlining data analysis and providing insights through a chatbot interface.

1. The ChatGPT-o1 may leverage reinforcement learning to enhance its ability for logical reasoning.
2. Reinforcement learning demonstrates outstanding performance in managing dynamic treatment plans for chronic diseases and critical care.
3. Reinforcement learning is applied in automated medical diagnosis by utilizing both unstructured and structured clinical data.

HIPAA Compliant

HIPAA Compliant

We are committed to maintaining the highest standards of data security and privacy. Every member of our organization is trained in HIPAA compliance, and we implement industry-leading security measures to protect your information throughout the entire data labeling process.

Data Encryption
Access Controls
Secure Storage
Compliance Training

We're here to help!

Get started with our company today! Please complete the form to schedule a meeting with our specialists. We are happy to answer your questions and deliver customized data labeling solutions to you.