James Andrew Henry ^*

• Institute of biomedical sciences, London, United Kingdom

Introduction The Population Health Management (PHM) Genomic Newborn Screens (GNBS) and Multi-Omics Intercepts for Human Phenotype Ontology (HPO) with Federated Data Platforms (FDP) present a groundbreaking innovation in global health. UK Genomic Medical Services (GMS) for digital child health evolves through "The Generation Study," aimed at reducing infant mortality by intercepting over two hundred rare disease conditions for a lifetime of public health and personalized plans. Method An ecosystem approach to a diverse pangenome evaluates HPO health predictors or confirms diagnoses in pre-eXams. GNBS establish a standard of care to stratify risk by aligning blood spot and blood cell diagnostics. The understanding of rare diseases is enhanced in primary care medicine, with biomedical and haematology diagnoses re-evaluated. Scientific proof of concept and fit-for-purpose technology align multi-omics in pre-eXams (X=Gen AI). Recommendations The Digital Regulation Service (DRS) agile group of experts develops medical science with HPO for disease segmentation, scheduling accurate eXam intercepts at points of need. Actions strategize regulation services for digital HPO eXam assurance and plan Higher Expert Medical Science Safety (HEMSS) with agile groups. A DRS oversees gene, oligonucleotide, and recombinant protein intercepts, and commissions blood pathology HPO eXam intercepts while monitoring pre-eXam-eXams with imaging. Discussion For the PHM of HPO excellence, HEMSS with Agile Group Development builds on GNBS with multi-omics to realize personalized plans for NHSE Genomics with AI DRS. The author extends GNBS predictors and intercepts debates for AIDRS HPO pre-eXams-eXams for public health and patient safety. Discussions cover structured HPO knowledge from newborn health, ethics, family privacy, benefits, and limitations of pre-eXam screens and life eXam intercept. Throughout the AIDRS debate with stakeholder to adopt HPO X through AHSN-GEP clinical pathway process initiatives and agreements. Conclusion "The Generation Study" exemplifies digital child health in a lifecycle of HPO-X-Gen-AI predictor and intercept, progressing from trusted research heralding quality lifecycles through evidence-based discovery. An NHS Constitution for ontology risk stratification with fit-for-future analytics becomes a standard personalized practice for intercepts. Higher Expert Medical Science Safety governance continues in a subsequent manuscript, "PHM Fit Lifecycles in Future Analytics," developing neighbourhood points of need for "Our Future Health."