What clinical & quantitative solutions does API provide?

From preclinical research to clinical trials, our team of leading pharmacologists, biostatisticians and bioinformaticians delivers comprehensive, data-driven solutions. We work closely with you to customize strategies that align with your goals, ensuring a streamlined development process that maximizes efficiency and impact. Whether it’s optimizing study designs, advancing pharmacokinetic analysis, or leveraging AI for biomarker selection, our services empower you to bring your innovation to market safely and effectively.

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Clinical & Quantitative Solutions Services

Preclinical ADME and Translational Pharmacology

Comprehensive support for preclinical and translational pharmacology, from PK analysis to biomarker selection.

  • Pharmacokinetics (PK) and Toxicokinetics (TK): Ensure precise first-in-human (FIH) and allometric scaling.
  • Safety Assessments: Evaluate No Observed Adverse Effect Level (NOAEL) and Minimum Anticipated Biological Effect Level (MABEL).
  • Bioinformatics and Biomarker Selection: Leverage multi-omic approaches for pharmacodynamic and disease-specific biomarkers.

Biostatistics Services

Expert biostatistical services covering study design, analysis, and data visualization.

  • Clinical and Preclinical Study Design: Tailored support for the unique needs of each life sciences client.
  • Statistical Analysis Plans: Power and sample size calculations, data summaries, adverse event analysis, and endpoint results presentations.
  • Shiny Apps Development: Customized tools for effective data visualization and analysis.
  • Data Review: Missing data imputation (LOCF) and error detection, including outliers and out-of-range values.
  • Statistical Programming: CDISC-compliant dataset programming, Analysis Data Model (ADaM) and Study Data Tabulation Model (SDTM) development, and generation of tables, listings, and figures (TLFs) for reports.
  • Dose-Finding and Dose-Response Analysis: Focused on Phase 1 clinical trials and other therapeutic evaluations.
  • Support for DSMB/DMC: Preparation of data outputs for Data Safety Monitoring Boards (DSMB) or Data Monitoring Committees (DMC).

Clinical Pharmacology: Phase 1 – 3

Understanding drug interactions is essential for developing safe and effective therapies. We leverage advanced pharmacokinetics, Bayesian modeling, and clinical trial simulations to optimize dosing and outcomes.

  • Clinical Study Design, Planning, Analysis, Reporting: Customized study designs that encompass first-in-human studies, bioavailability and bioequivalence evaluations, drug-drug interaction assessments, food effect studies, QT interval prolongation evaluations, organ impairment analysis, ethnic bridging strategies, radio-labelled mass balance for ADME, and pediatric pharmacokinetics/pharmacodynamics.
  • PK Analysis Plan: Rich sampling pharmacokinetics using non-compartmental and compartmental approaches, with PK-PD correlations (direct and indirect) using Phoenix WinNonlin™.
  • Population Pharmacokinetics (Sparse Sampling): Advanced modeling with NonMem.
  • Physiologically Based Modelling (PBPK): PBPK-PD analysis with Gastroplus™ and PKSim.
  • Therapeutic Window and Dose-Response: Clinical trial simulations for optimized dosing.
  • Disease State Modeling: Comprehensive modeling for various disease states to inform clinical strategies.
  • Gap Analysis & Clinical Pharmacology Plan: Idecntifying key areas for improvement to support robust clinical pharmacology plans.

Quantitative Systems & Translational Pharmacology (QSP & QTP)

Data-driven pharmacology modeling and mechanism of action insights to predict clinical outcomes.

  • Modeling and Systems Pharmacology: Use advanced network analysis and disease models to predict new molecule interactions and clinical outcomes.
  • Mechanism of Action in Humans: Detailed insights into drug mechanisms through systems and molecular pharmacology.
  • Quantitative Translational Pharmacology: Leverage data-driven strategies to translate findings from models to human applications, optimizing therapeutic impact.

Bioinformatics

Multi-omics and molecular data integration for target and biomarker selection, with advanced spatial and bulk analysis.

  • Multi-Omics: Expertise in genomics, transcriptomics, lipidomics, proteomics and microbiome analysis.
  • Target and Biomarker Selection: Identify critical targets and biomarkers for therapeutic development.
  • Spatial and Bulk Data Analysis: Advanced spatial single-cell and spot-level RNA sequencing, alongside bulk data analysis.
  • Gene-Set and Molecular Network Analysis: Integrate gene expression profiles using complex molecular interaction networks for deeper insights.
  • Intratumor Heterogeneity: Quantify and visualize tumor diversity at the molecular level.

Artificial Intelligence

AI-driven machine learning solutions for biomarker selection, patient stratification, and clinical study design. Our customizable approach allows us to tailor solutions to your project’s specific needs.

  • Machine Learning & Artificial Intelligence Consultation: Problem statement and solutions.
  • Machine Learning & Deep Learning: Advanced algorithms for data analysis and predictions.
  • Biomarker and Patient Selection: Identify biomarker patterns and predict patient responders for personalized therapies.
  • PK/QSP Integration: AI can be applied independently or in conjunction with pharmacokinetic and quantitative systems pharmacology methods for enhanced decision-making.

Seamless Integration with Clinical & Quantitative Solutions and Regulatory & Quality

Our Discovery & Development team works hand-in-hand with our Clinical & Quantitative Solutions and Regulatory &m Quality team to provide comprehensive, data-driven strategies. Together, we ensure your journey from concept to market entry is seamless, whether you’re working on pharmaceuticals, natural health products, medical devices, or diagnostics.

We bridge the gap between academia and industry by providing the full expertise, services, and infrastructure of a life sciences company. 

We specialize in guiding companies through preclinical, clinical, and market safety phases, providing expert support at every stage of development.

We deliver flexible solutions for clinical and commercial manufacturing. 

Meet Our Senior Leaders and Contacts

Corrine Campanella Headshot
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Morteza Haji Hosseini

Located in one of Canada’s Fastest-Growing Life Sciences Hubs

Located in Edmonton, Alberta, API sits at the heart of one of Canada’s fastest-growing life sciences ecosystems. Our region is experiencing a surge in investment, with new infrastructure, expanded research capacity, and a strong pipeline of talent. Anchored by globally recognized institutions like the University of Alberta, Life Sciences Campus at the Edmonton Research Park and surrounded by a growing community of startups and a tightknit entrepreneur community, Edmonton offers a uniquely collaborative environment for innovation.

Edmonton is also a key part of the Canadian Critical Drug Initiative (CCDI), a nearly $200 million project led by our team at API in partnership with the University of Alberta. Through the CCDI, we’re developing an integrated research, commercialization and manufacturing cluster within the Edmonton Metropolitan Region.    

As a Canadian-based CRO and CDMO, we also offer cost advantages and access to international markets—making us an ideal partner for both domestic and global companies looking to scale their therapeutic innovations. 

The Canadian Critical Drug Initiative
Edmonton

Learn more about our services for different therapeutic areas

Ready to take your life sciences innovation to the next level?

Contact us today for a free discovery consultation to determine how we can bring your idea to market together.

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