PAMLEE™ is designed to transform early cancer detection globally, guiding patients and clinicians through AI-powered precision insights.
From initial pilot deployment to global scale, PAMLEE™ integrates multimodal data to deliver 98%+ tumor detection accuracy. Each phase aligns with regulatory approvals and partnership milestones.
PAMLEE™ is undergoing structured validation initiatives in collaboration with Vanderbilt-affiliated research environments to assess performance, explainability, and clinical alignment.
Partnerships with Vanderbilt University and NVIDIA
Regulatory milestones and approvals
Clinical trial results and validations
Transparent reporting of PAMLEE™’s AI accuracy and workflow
HealioScan is advancing Al-powered early cancer detection with proprietary models already trained and optimized for multimodal imaging analysis.
Establishment of secure infrastructure, expert team, and development of proprietary Al foundation models for multimodal medical imaging analysis.
Key Deliverables (in modal): Robust data pipelines, end-to-end encryption protocols, initial IP framework, and functional core Al engines.
Building of compliant, scalable data ecosystems and initial training of advanced Al models on diverse datasets.
Key Deliverables (in modal): Secure data lake with advanced anonymization, trained baseline models with strong performance in abnormality detection, and foundational explainable Al features (e.g., visual interpretation overlays).
Ongoing refinement of proprietary models, multimodal integration, and prototype feature development.
Key Deliverables (in modal): Enhanced accuracy and efficiency, low-latency processing, interactive visualization tools (e.g., confidence overlays), and Alpha platform with core upload-to-analysis workflow.
Full-stack build-out of the secure HealioScan platform with clinician-focused interfaces.
Key Deliverables (in modal): Functional MVP, scalable backend APIs, edge optimizations, and rigorous internal testing for reliability.
Engagement with healthcare institutions for real-world testing and iterative feedback.
Key Deliverables (in modal): Pilot deployments, validated workflows, case studies, and UX refinements based on clinical input.
Structured multi-site validation to establish clinical utility.
Key Deliverables (in modal): Independent performance reports, real-world evidence, and data preparation for regulatory processes.
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
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.
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