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Clinical Pharmacology & Model-Informed Development · Industry updates

Follow sourced scientific, clinical, partnership, capacity, and financial developments. Factual summaries and business interpretations are presented separately.

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European Journal of Drug Metabolism and Pharmacokinetics

Progesterone PopPK study combines machine-learning screening with conventional covariate modeling

A study in European Journal of Drug Metabolism and Pharmacokinetics modeled subcutaneous aqueous progesterone using single-dose crossover data from 50 healthy Chinese postmenopausal women. Machine-learning approaches screened potential covariates before conventional PopPK evaluation. Height and body-weight effects remained statistically identifiable but had limited clinical significance. Simulated repeated-dose exposure is model-derived, rather than an observed efficacy outcome in fertility patients.

PharmaIN Corporation

PharmaIN reports Phase 1 multiple-dose PHIN-214 findings in cirrhosis

On November 5, PharmaIN reported conference findings from PHIN-001: 12 participants with Child-Pugh B cirrhosis received PHIN-214; 10 completed 28 days. The issuer described Grade 1–2 treatment-related adverse events and exploratory renal, hemodynamic and PK findings. The ongoing small Phase 1 study does not establish clinical benefit. This is a company conference announcement, not a peer-reviewed paper.

Ethris / GlobeNewswire

Ethris reports exploratory antiviral and exposure-response signals for nasal ETH47 in asthma

Ethris reported topline results from a randomized Phase 2a rhinovirus-challenge study involving 50 adults with asthma. A single nasal dose of ETH47, an interferon-lambda-encoding mRNA candidate, produced local expression and lower day-two viral load. Symptom improvements were described as numerical trends; exposure-response subgroup findings remain exploratory, without established clinical efficacy.

Labcorp

Labcorp poster describes a shared free-IgE assay for a head-to-head clinical study

Labcorp's CBF 2026 poster summary describes a unified serum free-IgE assay supporting comparison of two IgE-targeting drug candidates, including a marketed comparator. The team evaluated assay conditions that can disturb drug–IgE equilibrium and reports establishing a fit-for-purpose method. The public summary does not identify the therapies or provide numerical validation metrics; it is a conference report.

Clinical Pharmacology & Therapeutics / PMC

Review identifies higher patient exposure for some drugs in chronic inflammation

Based on the article abstract, a review of 20 approved small-molecule medicines for selected chronic inflammatory diseases found more than 25% higher exposure in patients for five medicines, using reported population pharmacokinetic analyses. The authors highlight CYP3A4 and CYP2C19 metabolism. This cross-drug review supports risk assessment, not automatic dose changes for individual patients.

The Journal of Clinical Pharmacology

Model-Informed Decision Making from Drug Discovery to Reimbursement: A Roadmap for Clinical Pharmacology in Value-Based Healthcare

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.

Certara

Certara introduces an integrated development-strategy offering for emerging biotechs

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.

Clinical Pharmacology & Therapeutics

From Classical PKPD to Model-Informed Drug Development: Are “Digital Twins” a New Paradigm?

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.

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