7 citations
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October 2023 in “Journal of Intelligent & Fuzzy Systems” This study proposed and tested an Ensemble Pre-Learned Deep Learning and Optimized Long Short-Term Memory (EPL-OLSTM) model for classifying Alopecia Areata, achieving a 93.1% accuracy in differentiating healthy from varying severity levels of AA scalp hair using specific datasets.
5 citations
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August 2024 in “Drug Discovery Today” This review examines advances in computer-aided drug design for targeting membrane proteins in prostate cancer but reports no new clinical results; it emphasizes the potential of structural insights and compound screening for therapeutic development.
5 citations
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January 2021 in “Journal of Saudi Chemical Society” This study analyzed watercress oil and confirmed its phytochemical profile, UV absorption properties, and potential efficacy for hair growth, supporting traditional hot oil applications.
1 citations
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December 2022 in “Pharmaceuticals” This study found that a sub-fraction of Noni fruit, FEA-3, showed hair growth-promoting effects in a rabbit model of androgenic alopecia, similar to Minoxidil.
April 2026 in “Zenodo (CERN European Organization for Nuclear Research)” This study utilized computational approaches to screen natural compounds targeting a non-androgen pathway involving PIEZO1 and MLCK for treating androgenetic alopecia, identifying several potential candidates for further validation but making no clinical claims.
April 2026 in “Zenodo (CERN European Organization for Nuclear Research)” This review highlights recent advancements in the formulation of herbal hair creams, focusing on the use of natural ingredients like kidney bean extract and aloe vera, eco-friendly extraction methods, and modern pharmaceutical technologies to create effective and safe products for hair care.
April 2026 in “Zenodo (CERN European Organization for Nuclear Research)” This review discusses the formulation and evaluation of herbal hair creams using ingredients like kidney beans, aloe vera, and vitamin E, highlighting recent advances such as eco-friendly extraction techniques and computer-aided optimization to enhance application ease, shelf life, and effectiveness in maintaining a healthy scalp.
August 2024 in “Biomedical Journal of Scientific & Technical Research” This review discusses the role of steroid 5 alpha reductase 2 in converting testosterone to DHT and its association with conditions like benign prostatic hyperplasia and prostate cancer; it reports no new results.
September 2018 in “Cosmetics” This study found that anisotropic osmolyte solutions may improve hair follicle turnover and condition in both in vitro and in silico models, as well as in human volunteers with hair disorders.
February 2008 in “Basic and clinical dermatology” Photographic imaging is crucial for documenting and managing hair loss, requiring careful preparation and standardization to be effective.
January 1996 in “Lasers in Surgery and Medicine” This letter to the editor by Walter P. Unger discusses topics related to hair transplantation and reports no new research findings.
October 1990 in “Archives of Dermatology” This piece describes a study designed to quantify hair density in the frontoparietal area of women without self-reported androgenetic alopecia, but it reports no results.
33 citations
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December 2012 in “NMR in Biomedicine” This study reports that microencapsulation of therapeutic cells with contrast agents enables visualization across multiple imaging modalities, potentially improving cellular immunoprotection and tracking after transplantation.
9 citations
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July 2013 in “Clinical Neuroradiology” A man developed a rare blood vessel connection on his scalp after hair transplants, which was successfully treated with surgery.
5 citations
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November 2018 in “Journal of Obstetrics and Gynaecology” This case series highlights that diagnosing ovarian Leydig cell tumors can be challenging, and expert sonography is crucial for accurate identification, as imaging modalities like CT, MRI, and PET-CT may fail to detect them.
42 citations
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November 2004 in “Paediatric Respiratory Reviews” This review discusses the clinical features of SARS in children, noting milder symptoms compared to adults, and emphasizes the importance of ongoing monitoring for long-term effects; it reports no new treatment findings.
31 citations
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June 2017 in “Regeneration” This study found that applying BMP2 stimulated limited regeneration of the amputated P2 bone in mice, but only when applied during a specific "regeneration window" after injury.
9 citations
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March 2011 in “Current Pharmaceutical Biotechnology” This review discusses current stem cell technologies, their potential therapeutic uses, and imaging techniques for tracking transplanted cells, without reporting new experimental results.
1 citations
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June 2023 in “ScienceRise Pharmaceutical Science” This study explored a computer simulation method for selecting emulsion compositions in dermatology, finding that the PS biocomplex can be effectively used as an emulsifier or co-emulsifier, which streamlines the development process and reduces experimental demands.
November 2023 in “Journal of Dermatological Science” A new computer tool quickly measures hair thickness differences in people with common types of hair loss.
September 2015 in “Dermatologic Surgery” In this study, the researchers developed a computer-aided imaging system to quantitatively measure baldness in Chinese women with female pattern hair loss, potentially improving the precision of severity evaluation compared to traditional scales.
November 2018 in “Annals of oncology” This study found that the computer-controlled RV-01 scalp cooling device helped prevent significant hair loss in metastatic breast cancer patients treated with eribulin, with none of the 16 patients requiring a wig and experiencing minimal discomfort.
February 2022 in “Skin research and technology” This study found that skin computed tomography may effectively identify epidermoid cysts by revealing features consistent with histopathology, potentially serving as a non-invasive diagnostic alternative to biopsies.
11 citations
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December 2016 in “Frontiers in Psychology” In this study, researchers used computer-generated models to demonstrate that subtle changes in hair diameter, density, and style significantly affect perceptions of age, health, and attractiveness.
In this study, machine learning-based computer-aided diagnosis significantly improved accuracy in diagnosing alopecia areata compared to traditional visual methods, achieving up to 91.9% accuracy using different classifiers like CNN, SVM, and random forest models.
October 2023 in “Deleted Journal” In this study, the researchers found that using computers and modern technologies can aid smoking cessation efforts, highlighting that smoking cessation medications and informed awareness can help reduce smoking and its associated harms, which include severe health risks like cancer and heart disease.
63 citations
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February 2003 in “Australasian Journal of Dermatology” This review discusses various methods for measuring scalp hair growth in androgenetic alopecia and reports no new results; the authors suggest that computer-assisted technology has untapped potential.
March 2026 in “Zenodo (CERN European Organization for Nuclear Research)” In this study, a novel geometric medicine approach, utilizing the N-K Universal Computer, was reported to eliminate aflatoxin contamination and significantly reduce cancer rates across the "Aflatoxin Belt" through precision targeting of harmful fungi while preserving ecological balance, without observed toxicity or resistance.
January 2026 in “Open MIND” This study identified candidate compounds from a natural-product library that may interact with the PIEZO1 and MLCK pathways, potentially countering a non-androgen cause of hair follicle miniaturization, all based on computer simulations; experimental validation is necessary.
This study reported a new method enabling the observation of the full leg regeneration process in the crustacean *Parhyale hawaiensis* over 10 days, capturing cellular resolution while minimizing photodamage, through innovative imaging techniques and computer-assisted cell tracking.