Innovating Mobile Networks with AI/ML
Skylo Technologies conducts in-depth research on AI/ML applications in mobile networks, focusing on security and OpenAI's models to identify innovation opportunities and develop future network frameworks.
AI Integration
Reviewing AI/ML in mobile networks for innovative solutions.
Research Gaps
Electronic medical records, imaging, and genomic data are scattered in different systems, with inconsistent format standards, a lack of a universal data integration framework, and multimodal data fusion technology. Most studies are based on retrospective cohort data and lack coverage of primary hospitals and patients with rare diseases.
Simulation Models
Through the interactive closed-loop system of digital clinical simulation data generation, model training, decision support and diagnosis and treatment process, it is used to verify the absorption, safety and effectiveness of machine learning solutions before actual deployment.
Conceptual Framework
The conceptual framework for clinical machine learning implementation needs to integrate medical knowledge, machine learning technology, and clinical practice processes to form a multi-dimensional collaborative systematic architecture.