October 2025 in “Frontiers in Artificial Intelligence” This study evaluated a novel, user-friendly approach for detecting hairfall trends over time using machine learning models. The Temporal Fusion Transformer model demonstrated high accuracy in identifying anomalies in hair shedding patterns, potentially aiding in the early detection of health risks related to hormonal fluctuations.
July 2026 in “International Journal of Advanced Research in Science Communication and Technology” In this study, the BaldGraphFormer framework, integrating visual and clinical data, outperformed unimodal baselines in early-stage androgenetic alopecia detection, achieving an F1-score of 97.62% and macro-average AUC of 0.992, suggesting its potential to support dermatological decision-making and early intervention.
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November 2011 in “Nature Communications” Wnt/β-catenin signaling is crucial for cell fusion in placental development.
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December 2022 in “Frontiers in cell and developmental biology” This review discusses the use of zebrafish larvae as an alternative model for studying ototoxicity, facilitating large-scale screening for otoprotective compounds, but reports no new clinical results.
In this article, the author explores how digital technologies can expand the cognitive and creative capabilities of designers, noting that while technology transforms design thinking, it does not replace it but rather opens up new possibilities and requires a hybrid, reflective practice.