5 citations
,
June 2016 in “TURKDERM” This review discusses various dermatological scoring systems used to objectively assess disease severity and guide treatment decisions, reporting no new clinical results.
25 citations
,
September 2010 in “Journal of Cutaneous Medicine and Surgery” This study found that central centrifugal cicatricial alopecia primarily affects adult women of African descent and suggests an association with traumatic hair care practices and delayed diagnosis.
19 citations
,
August 2011 in “Archives of Dermatology” This abstract contains no research findings but is a snippet of a website interface for JAMA Dermatology.
This review discusses the potential conflicts of interest and quality concerns associated with direct-to-consumer teledermatology platforms and reports no new experimental results.
November 2023 in “International Journal of Dermatology” In this study, CCCA patients were found to have higher odds of metabolic, autoimmune, atopic, and psychiatric comorbidities compared to matched controls.
This study introduced the C-CAT, a new assessment tool for central centrifugal cicatricial alopecia, and found that established treatments improved symptoms in most patients over six months.
January 2024 in “Wiadomości Lekarskie” In this study, the integration of artificial intelligence in medicine was discussed, highlighting its potential to enhance diagnostic processes, optimize therapies, and provide advanced patient monitoring despite challenges like data inconsistency and limited model transparency.
This review discusses central centrifugal cicatricial alopecia and emphasizes the need for more research to understand and manage the disease, while also suggesting initiatives like educating hairstylists for early detection.
March 2023 in “Trends in Telemedicine & E-health” Medical questionnaires could modernize healthcare by improving access and efficiency but need guidelines to ensure quality care.
1 citations
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December 2023 in “JAAD International” Mast cells may significantly contribute to central centrifugal cicatricial alopecia.
This study aims to use a comprehensive health data set to develop a statistical model that can improve personalized and preventive health care by understanding relationships between various health parameters in individuals.
2 citations
,
January 2014 This study highlights the use of data mining techniques to identify malnutrition and nutritional deficiencies contributing to global health burdens, but it presents no new research findings.
5 citations
,
April 2023 in “Life” This review discusses central centrifugal cicatricial alopecia in adolescents, noting varied presentation and highlighting genetic and environmental factors, but reports no new clinical findings.
2 citations
,
June 2021 in “RECERCAT (Consorci de Serveis Universitaris de Catalunya)” Clear definitions and strategies are needed to manage long-term COVID-19 symptoms effectively.
3 citations
,
February 2022 in “Journal of the American Academy of Dermatology” This article highlights a lack of published data on vitamin D deficiency prevalence among individuals with central centrifugal cicatricial alopecia, despite its known link to other forms of hair loss.
This review discusses various oral drugs used for chronic central serous chorioretinopathy but reports no multi-center randomized clinical trials or long-term effect findings.
37 citations
,
August 2016 in “Clinical, Cosmetic and Investigational Dermatology” This article discusses central centrifugal cicatricial alopecia, highlighting its prevalence, potential genetic factors, and management challenges, but reports no new clinical conclusions and calls for further research.
1 citations
,
January 2024 in “Wiadomości Lekarskie” This study evaluated a new computer-aided detection system for identifying Breast Arterial Calcification in mammograms, achieving 70% accuracy, but highlighted the need for a larger dataset to explore its relationship with cardiovascular diseases.
1 citations
,
September 2020 in “Prometheus” This review examines the reliance on formalized and automated protocols in fields like aviation and medicine, suggesting that such approaches may hinder the human capability of mètis needed to handle emergencies and dynamic ambiguities; it reports no new results.
June 2013 in “The mental health clinician” This review discusses Dr. Atul Butte's lecture on transforming vast data sets into drug discovery insights and highlights the importance of merging clinical, molecular, and environmental data for personalized medicine, but it reports no new clinical results.
March 2015 in “Institutional Repositories DataBase (IRDB)”
September 2022 in “Research Square (Research Square)” In this study, the DIET-AI model, developed from a large dataset of over 200,000 images, demonstrated diagnostic performance for 31 skin diseases comparable to dermatologists of varying experience levels in 15 hospitals across China, supporting its potential effectiveness in clinical settings.
September 2024 in “Journal of the American Academy of Dermatology” Early intervention is important for limited systemic sclerosis patients due to higher pain and ulceration risks.
46 citations
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July 2008 in “Dermatologic Therapy” This study developed and evaluated a photographic scale to assess CCCA pattern and severity in African American women, finding it reproducible when used by investigators and participants.
April 2026 in “International Journal of Engineering Research and Science & Technology” This study introduced the Vitamin Deficiency Detection System, which helps users identify potential vitamin deficiencies by analyzing symptoms they select on a user-friendly interface.
29 citations
,
June 2017 in “Journal of Inherited Metabolic Disease” This review discusses the potential of using high-throughput and high-content screening methods for drug repositioning in rare diseases and reports no new results.
April 2026 in “Zenodo (CERN European Organization for Nuclear Research)” This presentation argues that post-exposure syndromes like PSSD and Long COVID form a coherent group of conditions driven by complex interactions in high-dimensional state spaces rather than singular molecular pathways.
10 citations
,
September 2020 in “Journal of the American Geriatrics Society” This study found that a natural language processing system outperformed ICD code-based strategies in accurately identifying fall-related emergency department visits among older adults.
1 citations
,
July 2025 in “BMC Medicine” The authors concluded that establishing and standardizing methods for data collection are crucial to improving PCOS diagnosis and research due to challenges observed in data harmonization across diverse international cohorts.
19 citations
,
December 2008 in “Arthritis Care & Research” This study found that the decision board is a reliable and valid tool for assessing treatment preferences in systemic lupus erythematosus patients, who tended to favor oral medication due to concerns about side effects.