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How to read the evidence
Model outputs depend on data, assumptions, and intended use. Research guides do not replace project-specific clinical or regulatory judgment.
Sources, selection, and corrections →Organize clinical pharmacology and modeling around exposure, response, and dose decisions.
Model outputs depend on data, assumptions, and intended use. Research guides do not replace project-specific clinical or regulatory judgment.
Sources, selection, and corrections →Verified against public sources, selective and unranked. Drug developers and service providers are labeled separately. Unverified financing, founding dates, and current pipeline stages are not inferred.
Crystal Bio Solutions offers Biologics mass spectrometry, CMC analytics, PK, immunogenicity and biomarkers. Services should be matched to the intended study and assay requirements.
Sources checked: 2026-11-05
Profile & sources →Certara offers model-informed drug-development services and biosimulation software. Its public portfolio includes Phoenix for PK/PD analysis and Simcyp for PBPK modeling, alongside development and regulatory support. Software availability does not establish a model's fitness for a particular decision.
Sources checked: 2026-11-04
Profile & sources →Simulations Plus offers modeling and simulation software and consulting across discovery and development. Its public software portfolio includes GastroPlus, MonolixSuite, and QSP tools. Modeling choices and validation should follow the intended scientific question.
Sources checked: 2026-11-04
Profile & sources →Allucent describes clinical pharmacology strategy, PK/PD, pharmacometrics, modeling, and simulation. Nuventra is part of Allucent and is not counted here as a separate independent provider.
Sources checked: 2026-11-04
Profile & sources →Altasciences offers LC-MS/MS, ligand-binding assays, immunogenicity and biomarkers. Services should be matched to the intended study and assay requirements.
Sources checked: 2026-11-05
Profile & sources →ICON lists population PK, PK/PD, exposure-response modeling, trial simulation, first-in-human dose prediction, and formulation-related IVIVC. These are service disclosures, not independent evidence of success for an individual project.
Sources checked: 2026-11-04
Profile & sources →Parexel describes clinical pharmacology, population PK, PK/PD, exposure-response, PBPK, dose justification, and noncompartmental analysis. Model assumptions, datasets, and intended regulatory use require project-specific review.
Sources checked: 2026-11-04
Profile & sources →Original online dates are retained. Guides use accessible articles or abstracts and do not replace reading the paper.
This commentary proposes a lifecycle approach to model-informed decision-making, from discovery and dose selection to regulatory evaluation and reimbursement. It discusses quantitative methods, patient-relevant outcomes, and real-world data, alongside challenges in integration, transparency, and stakeholder acceptance. It is a conceptual roadmap, not a prospective validation of one modeling strategy.
Rajesh Krishna; Ananth Kadambi; Patrick Smith; Piet H van der Graaf; Fran Brown
DOI: 10.1002/jcph.70270
This perspective examines digital-twin claims against established pharmacometric practice. It argues that individual simulation, sequential updating, and decision-focused uncertainty analysis have longstanding roots in PK/PD modeling. The author emphasizes that fundamental limits, including identifiability, remain relevant despite new terminology.
Brett E Houk
DOI: 10.1002/cpt.70340
Manually selected historical and recent original announcements, not presented as today’s news. Source dates, including historical dates, are retained.
Certara launched Bio Venture Catalyst, bringing together scientific development, regulatory, commercial, and investor-oriented strategy. The announcement includes model-informed development support and asset prioritization. The offering is a consulting service; its stated aims do not demonstrate improved clinical outcomes or guarantee financing.
Original announcement ↗