Practical playbooks on clinical data analysis, ELISA validation, ISO 15189:2022, GxP reporting and multi-agent AI pipelines — written by the team building AiLabrix.
A reproducible LC-MS/MS pipeline for targeted proteomics and protein biomarker quantification: SRM/MRM design, stable-isotope standards, calibration curves, and a validation package that satisfies FDA Bioanalytical and ISO 15189.
Read the article →A data pipeline for antimicrobial susceptibility testing: broth microdilution MIC determination, EUCAST/CLSI breakpoint interpretation, quality control with reference strains, and ISO 15189-aligned reporting.
Read the article →How to design a reproducible high-throughput screening (HTS) campaign and dose-response pipeline: Z-factor QC, hit confirmation, IC50/EC50 curve fitting, selectivity profiling and compound ranking for R&D decisions.
Read the article →How to design reproducible cell biology assays: scratch/wound-healing migration, Boyden chamber invasion, reporter gene assays (luciferase/GFP), co-immunoprecipitation and proximity ligation — with QC gates and statistical frameworks.
Read the article →A comparative guide to cell viability assays (MTT, WST-1, CellTiter-Glo, SYTOX, flow cytometry), with IC50 curve fitting, normalization strategies and QC gates for reproducible cytotoxicity screening.
Read the article →A reproducible high-content screening (HCS) pipeline: image acquisition QC, CellProfiler segmentation, morphological feature extraction, dimensionality reduction, phenotypic clustering and mechanism-of-action profiling.
Read the article →How to design, run and document an ELISA validation that passes ISO 15189:2022 accreditation — with worked examples for linearity, precision, LoD and traceability.
Read the article →How to process qPCR Ct values, run ΔΔCt relative quantification and quantify viral load without losing reproducibility — with QC gates that survive ISO 15189 audit.
Read the article →How to automate compensation, gating and population analysis for flow cytometry (FCS files) with an audit-ready pipeline — covering manual-gate drift, FMO controls and spectral panels.
Read the article →What GxP actually requires from a PDF report, how to build one from a Python pipeline, and the five mistakes that make reports fail audit.
Read the article →A clinical-grade NGS QC pipeline: read quality, alignment, variant calling, allele frequency filtering, and ISO 15189 / ACMG reporting — with the QC gates that catch false positives before the report.
Read the article →Method validation for clinical chemistry analytes (creatinine, ALT, glucose, lipids) following CLSI EP05/EP09/EP17 — with reference intervals, method comparison and measurement uncertainty in one auditable flow.
Read the article →Why a single-LLM script is the wrong shape for clinical data analysis, and how to design a reliable multi-agent pipeline with LangGraph — with a concrete 22-agent example.
Read the article →An LC-MS metabolomics pipeline that handles peak picking, alignment, normalization, metabolite identification (HMDB), and pathway enrichment without losing reproducibility — plus the QC gates that reveal batch effects.
Read the article →A practical validation playbook for hematology analyzers: CBC parameters, 5-part differential, coagulation (PT/APTT/INR), reference intervals and flagging logic — ISO 15189:2022 aligned.
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