Computational methods for the analysis of single-cell RNA sequencing data are driving advances in personalized medicine. Given the rapid integration of these complex tools into research and development pipelines, the systematic and reliable testing of computational methods is critical to ensure the integrity of derived insights. However, a significant gap exists in appropriate benchmarks and innovative frameworks for the systematic and rigorous evaluation of existing and emergent digital technologies. In this work, we present a new framework, powered by a software package called scrnabench, to conduct systematic testing and benchmarking of computational tools. This framework supports the development and evaluation of digital health technologies by ensuring reliable, stable, and trustworthy results. The package can be used to select the most appropriate method for data analyses, to evaluate emergent tools, and to identify the strengths and weaknesses of existing software. In addition, we leverage software engineering techniques of metamorphic testing to help uncover implementation errors, faults, and anomalies and increase trust in AI-driven techniques. The scrnabench package is open-source, accessible and extendable, and we demonstrate its unique features in several use-case scenarios.

Similarly to many Low- and Middle-Income Countries, the effective management of pharmaceutical data in Burkina Faso is critically hampered by fragmented, non interoperable local databases employing heterogeneous coding systems. This fragmentation fundamentally limits the capacity for robust regulatory oversight, effective pharmacovigilance, and the reliability of national health statistics. This paper introduces the design and initial outcomes of a national drug ontology developed to establish a unified and standardized pharmaceutical reference system for Burkina Faso. The ontology systematically consolidates and standardizes key drug attributes, including active substances, concentrations, International Non-proprietary Names (INNs), specialties, dosage forms, administration routes, and manufacturers. Crucially, it is mapped to the World Health Organization's Anatomical Therapeutic Chemical (ATC) classification system to ensure alignment with international standards while retaining essential local specificities. Preliminary results demonstrate that this ontological framework achieves semantic harmonization, providing a foundational basis for enhanced data interoperability, advanced pharmacovigilance capabilities, and the strengthening of national digital health sovereignty in Burkina Faso.