ReviewDisease models & mechanisms2026
In vitro and in vivo models for androgenetic alopecia drug development.
Review in Disease models & mechanisms, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Enhancing the in vitro architecture of human disease.Disease models & mechanisms · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Alopecia is a common disorder that can cause hair loss owing to various factors, including genetics, stress and diet. Androgenetic alopecia (AGA), also known as male pattern baldness, is the most common type of progressive hair loss. AGA symptoms can be alleviated by effective drugs, such as finasteride and minoxidil. Therefore, most patients with alopecia select drug therapy as the first-line treatment. However, their side effects and variable efficacy have increased the demand for alternative treatment options for these patients. Despite the high clinical demand, the development of novel therapeutic agents remains limited, primarily due to the lack of physiologically relevant drug testing models that accurately predict drug effects in humans. In this At a Glance article, we provide an overview of the currently available in vitro models for hair drug testing. First, we outline the limitations of traditional models, such as two-dimensional cultures and animal models, in reproducing hair follicle structures and multicellular signaling pathways. We then introduce three-dimensional culture platforms that partially overcome these drawbacks. Next, we discuss the differences and applications of various models in terms of functional readouts, reproducibility, high-throughput potential, standardization and cost. We highlight recent progress in the development of follicular skin model constructs and propose practical metrics for selecting the most appropriate model for the initial screening of potential hair drugs. Overall, this At a Glance article provides a roadmap towards a more translationally valuable screening system for the discovery and development of hair loss treatments.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.