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XBIOM Regulatory Submission

Data standardization and packaging for nonclinical SEND and clinical SDTM/ADaM regulatory submissions under 21 CFR Part 11.

Solution by PointCross
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Overview

XBIOM™ Regulatory Submission, developed by PointCross Life Sciences, is a comprehensive data standardization and submission platform designed for biopharma R&D teams preparing regulatory packages for nonclinical studies and clinical trials. The platform supports all workflows, transformations, and harmonization steps required to standardize as-collected data sourced from LIMS, EDC systems, and Specialty Assay Labs, packaging everything for submission under 21 CFR Part 11 records controls.

XBIOM™ serves both nonclinical and clinical data standardization needs, addressing the distinct requirements of CDISC SDTM SEND for nonclinical studies and SDTM/ADaM for clinical trials, making it a unified solution for organizations managing complex regulatory submissions across multiple study types.

Nonclinical Studies and SEND Capabilities

  • Supports FDA-mandated CDISC SDTM SEND standardization for nonclinical studies initiated since 2018, aligned with released versions of CDISC Controlled Terminology.
  • Uses a highly automated, low-touch, no-code process to generate, validate, and verify consistency of SEND data sets against GLP Study Reports.
  • Includes tools to conduct complete reconciliation of the SEND data set against digital tabulations of reported summary tables in the Study Report, as required by the FDA Technical Conformance Guide.
  • Provides tools to extract summary tables from Study Reports and capture required SEND metadata directly from those reports.
  • Generates all required submission artifacts including TS.XPT, trial design domains (TA, TE, TX, DM), and Define.XML files.
  • Features a built-in eDataValidator that ensures the SEND data set meets all conformance rules, including FDA-stipulated business rules and PMDA rules for Define.XML.

Clinical Study Data Standardization — SDTM and ADaM

  • Ingests as-collected patient data from EDC systems and CRFs, as well as Biomarker Assay data from bio-banked bio-sample sources, through a virtual data room.
  • Data is curated using XBIOM dashboards and auto-transformed by the Smart-Transformer (ST) into a meta-model Universal Data Model (UDM) repository managed within the XBIOM Clinical Data Repository (CDR).
  • The Smart-Transformer leverages previously stored mappings from the Metadata Repository (MDR) library to auto-generate SDTM data sets using a selected Implementation Guide (IG) and Controlled Terminology (CT), both managed within the MDR.
  • Authorized biostatisticians can use the UDM to read and interpret the Statistical Analysis Plan (SAP), search and find analysis-ready cohorts, and generate the flags needed to produce ADSL, BDS, and OCCDS ADaM files.
  • Analysis-ready data is layered onto the UDM to create a Data Services Layer (DSL), with the UDM and DSL together forming the Clinical Data Hub (CDH) of the CDR.
  • ADaM data sets can be prepared either using previously generated mappings in the MDR or through programmer-generated scripts using R, Python, or SAS within the Statistical Computing Environment (SCE).
  • Tables, Figures, and Listings (TFLs) can be generated directly from the DSL using on-board statistical tools and custom scripts, or alternatively from ADaM data sets using traditional programming approaches.
  • Includes tools for generating Trial Design domains, TS.XPT, and Define.XML for clinical submissions.

Platform Architecture and Compliance

  • All data capture, transformation, and packaging operates under 21 CFR Part 11 records controls, ensuring regulatory-grade data integrity throughout the submission lifecycle.
  • The platform integrates data from LIMS, EDC, and Specialty Assay Labs through a virtual data room, supporting end-to-end data ingestion and curation.
  • The MDR is tightly integrated with the CDR, enabling consistent management of implementation guides, controlled terminology, and transformation mappings across both nonclinical and clinical workflows.

Meta

Software type(s)
Workflow Automation
Deployment type(s)
On-Premise
Industry vertical(s)
PharmaBiotechCRO
Development stage(s)
Preclinical / Pre-MarketClinical
Target user(s)
Research ScientistBioinformatician / Computational ScientistQA / Regulatory Affairs
Compliance standard(s)
21 CFR Part 11GxPICH