PAMLEE™ validation follows a triple-layer accuracy framework designed to assess performance, robustness, and clinical relevance across multiple datasets and evaluation stages.
In research and validation settings, PAMLEE™ has demonstrated 98%+ AUC performance, supporting its potential role in precision-driven oncology workflows while maintaining transparency and explainability.
Our AI cancer validation efforts contribute to advancing precision oncology research, emphasizing reproducibility, benchmark comparison, and clinically aligned evaluation methodologies.
Academic collaboration frameworks supporting validation methodology
Vanderbilt-affiliated research environments contributing to evaluation design
Cross-disciplinary expert review involving oncology, radiology, and AI specialists
Healioscan Collaborations: Advancing PAMLEE™ Oncology through academic, technology, and pharmaceutical partnerships.
Universities and medical research institutions
Clinical trials and validation studies
Peer-aligned research initiatives
AI infrastructure and compute platforms
Imaging and data pipeline partners
Secure deployment environments
Oncology research alignment
Biomarker and treatment pathway insights
Translational research support
Academic institutions supporting PAMLEE™ research, validation, and peer-aligned study frameworks.
Academic research flipbook (labs/trials/imaging)
Technology partners enabling secure AI infrastructure, imaging pipelines, and deployment scalability.
AI infrastructure / system architecture visuals
Pharmaceutical partnerships supporting translational research and oncology innovation using PAMLEE™.
Oncology research / molecular visuals
Scientific Rigor Every PAMLEE™ HUB algorithm undergoes extensive validation using retrospective clinical
Our research team actively contributes to the scientific community through peer-reviewed publications,
Pharmaceutical partnerships supporting translational research and oncology innovation using PAMLEE™.
Oncology research / molecular visuals
Academic institutions supporting PAMLEE™ research, validation, and peer-aligned study frameworks.
Academic research flipbook (labs/trials/imaging)
HealioScan offers AI-driven medical services in order to create high-quality medical datasets. Our team has extensive experience with medical data. Our training data sets are assisting companies in the development of cutting-edge AI-based medical applications and ML algorithms
Major global contributors in the field of AI-driven medical system.
Well experienced managers and a dedicated team of experts exclusively for medical projects.
Triple level quality checking mechanism to ensure more than 98% service quality.
ISO IEC 27001:2022 certified. Work environment compatible with HIPAA and EU GDPR standards.
Major global contributors in the field of AI-driven medical system.
Major Time Promptness in the field of AI-driven medical system.
Our Customer Support team is always ready to help you with quick solutions and reliable assistance whenever you need it.
Ticket Support helps you report problems and track solutions easily through a dedicated support system.
Free Insight provides valuable information and expert guidance to help you make informed decisions.
