5 citations
,
May 2018 in “Statistics in Medicine” This study found that the proposed Bayesian measurement-error-driven hidden Markov regression model effectively calibrated inflated covariate effect sizes in a community-based survey on androgenetic alopecia regardless of misclassification type.
December 2023 in “International journal of statistics and probability” In this study, the authors used a Bayesian Poisson - Hidden Markov Model to analyze COVID-19 cases by blood type in Europe and Africa, finding differences in hidden states and infection rates based on blood type across these regions.
2 citations
,
October 2008 in “InTech eBooks” This review discusses the benefits of non-denatured soybean extracts in skincare, suggesting potential roles in skin lightening, anti-aging, delaying hair growth, and photoprotection, but it reports no new clinical results.
5 citations
,
November 2020 in “Forensic Science International Genetics” This study found that using trait prevalence-informed priors may improve the prediction accuracy of appearance traits in Bayesian models, but their application is limited by sparse knowledge on trait prevalence.
Prescription and alternative therapies for hair loss will be compared for effectiveness.
June 2025 in “British Journal of Dermatology” This study introduces ALUDWIG, an automated tool for assessing female androgenic alopecia severity from smartphone images, which may offer a more consistent alternative to current scoring methods like the Ludwig scale.
5 citations
,
January 2009 in “Elsevier eBooks” This chapter discusses Bayesian networks, their properties, and how they enable probabilistic inference with continuous variables, but it reports no new findings.
March 2017 in “Fundamental & Clinical Pharmacology” This case study reported an improvement in lower limb edema for a patient with type 2 diabetes mellitus after starting dulaglutide treatment, suggesting a potential role of the drug in sodium retention disorders.
February 2023 in “International Journal of Multimedia Computing” In this study, improved hidden Markov algorithms based on Bayesian methods enhanced the resolution and segmentation accuracy of low-dose CT images significantly more than naive Bayesian methods.
60 citations
,
December 1998 in “Clinical Pharmacology & Therapeutics” Both drugs lower DHT levels, with GI198745 being more effective.
18 citations
,
June 1999 in “Statistical Methods in Medical Research” This paper reviews the role of pharmacokinetic/pharmacodynamic modeling in drug development, emphasizing its application for drug dosing guidance, safety resolution, and therapeutic monitoring improvement, without presenting new clinical results.
19 citations
,
July 2017 in “PLoS ONE” This study suggests that passage number significantly affects in silico scratch assay results, highlighting the importance of reporting passage number for reproducibility in cell culture experiments.
8 citations
,
February 2022 in “Journal of Clinical Medicine Research” This review discusses the development of the MATH+ treatment protocol for COVID-19 patients, detailing its scientific and clinical rationale, but reports no new experimental findings.
25 citations
,
April 2021 in “npj Regenerative Medicine” This review highlights the potential role of mathematical and computational approaches in enhancing and accelerating the clinical translation of regenerative medicine products but reports no new clinical findings.
15 citations
,
January 2024 in “The AAPS Journal” This study demonstrates that bioequivalence for proposed 50-mg ritlecitinib capsules versus clinical 100-mg capsules can be supported using a PBPK model-based biowaiver, achieving over 90% probability of success.
1 citations
,
January 2024 in “IEEE access” This study found that their proposed method for facial image restoration using Denoising Diffusion Probabilistic Models produced higher-quality results compared to traditional methods, particularly improving face recognition accuracy with different types of masks.
1 citations
,
September 2023 in “Curēus” In this animal study on albino Wistar rats, Lavandula stoechas extract was found to significantly enhance diabetic wound healing, with improved healing percentages and tissue development observed, suggesting its potential in diabetic foot management and pointing to the need for further research into its mechanisms.
19 citations
,
April 2020 in “Psychological Medicine” This study identified three symptom trajectory groups in individuals with PMDD, highlighting variations in symptom severity and duration across the luteal and follicular phases.
This study introduces PROMETHEUS, a framework that organizes causal claims from scientific texts into navigable and persistent "causal atlases," enhancing research by highlighting localized evidence, agreement, and contradictions within complex data sets.
2 citations
,
March 2023 in “Research Square (Research Square)” This review discusses existing forensic DNA phenotyping panels for biogeographical ancestry and externally visible characteristics and highlights major technical limitations, including terminology issues, genetic knowledge gaps, and technological debates; it reports no new results.
8 citations
,
May 2021 in “Reproductive Biology and Endocrinology” This study found that using age-specific AMH cut-off levels can help better identify PCOS patients across different age groups from 20 to 40 years.
1 citations
,
December 2021 in “Dermatologic Therapy” This study found that in the treatment of androgenetic alopecia, combination therapies involving topical and systemic treatments with adjunctive therapy demonstrated the highest efficacy in improving hair density and diameter compared to placebo, based on a network meta-analysis of 49 randomized controlled trials.
3 citations
,
September 2024 in “International Journal of Molecular Sciences” This review examines how mathematical modeling of the MAPK pathway, enhanced by single-cell proteomic data, improves understanding of regulatory mechanisms, predicts system behavior, and guides experimental research, emphasizing recent developments in modeling and inference.
February 2026 in “Nature Communications” In this study, researchers created a detailed human skin cell atlas by analyzing over 700,000 cells, finding that disrupted communication among specific immune and stromal cell subsets may play a key role in initiating and sustaining chronic skin inflammation in atopic dermatitis.
This study developed a mathematical model using hair biomarkers (levels of Mg, K, Fe, Al, Cr) to noninvasively predict iron content in Hereford cattle muscle tissue, potentially improving livestock management and meat quality.
48 citations
,
May 2015 in “PLOS ONE” This study found that a genetic test using 5 to 20 SNPs can predict male pattern baldness with variable accuracy in European men, especially those aged 50 and older.
27 citations
,
June 2023 in “Nature” In this study using genetic mouse models, researchers discovered that senescent melanocytes in nevi secrete osteopontin, which activates hair stem cells, enhancing hair growth; this process is mirrored in human hairy nevi, suggesting a potential therapeutic target for regenerative disorders.
1 citations
,
November 2023 in “BMC chemistry” In this study, researchers used computational modeling and virtual screening to identify two FDA-approved drugs, Tadalafil and Finasteride, that may effectively inhibit key proteins involved in melanoma progression, suggesting potential for new therapeutic strategies against aggressive melanoma.
September 2024 in “JAAD International” This review evaluates the global prevalence of telogen effluvium during the COVID-19 pandemic, noting increased incidence, but reports no new standardized worldwide results; the authors emphasize a need for further research.
October 2023 in “bioRxiv (Cold Spring Harbor Laboratory)” This study constructed a comprehensive atlas of prenatal human skin, revealing that innate immune cells, such as macrophages, play a crucial role in skin morphogenesis by interacting with non-immune cells, influencing hair follicle formation and angiogenesis beyond their traditional immune functions.