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.
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.
This study introduced Cadd4, a peptide-based degrader developed using computer-aided drug design, which effectively reduced PCSK9 levels and increased LDL receptor expression, resulting in decreased plasma cholesterol and LDL-C levels in hypercholesterolemic mice, without liver toxicity.
9 citations
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August 2023 in “Molecules” This study found that the peptides RMYYY and VMYMI displayed stronger binding energy and more frequent interactions with HPGDS compared to the native inhibitor, suggesting potential as future therapeutic drugs.
48 citations
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August 2022 in “Chemical Biology & Drug Design” This review outlines computational strategies, including chemogenomics and drug repositioning, for coronavirus drug discovery and reports no new clinical findings; the authors highlight the advantages of these methods in rapidly identifying therapeutic candidates.
1 citations
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January 2023 in “IEEE access” This review examines advancements in deep learning methods for detecting dermatological conditions from dermoscopic images, summarizing available datasets and suggesting future research directions, but reports no new results.
6 citations
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February 2016 in “Journal of Microencapsulation” This study found that injectable finasteride microspheres provided a sustained drug release with a minimal initial burst in albino rabbits compared to oral suspension.
January 2021 in “Social Science Research Network” In this study, researchers developed and optimized ethanol-free microemulsion systems for transdermal finasteride delivery, finding that the predicted formulations closely matched their physical and chemical characteristics, potentially reducing adverse effects compared to oral administration.
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.
180 citations
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February 2023 in “Journal of Chemical Information and Modeling” In this paper, Chemistry42—a software integrating AI with computational and medicinal chemistry—demonstrated efficiency in designing novel molecular structures targeting DDR1 and CDK20, with properties validated in both in vitro and in vivo studies.
June 2022 in “International Journal of Advanced Research in Science, Communication and Technology” This study explored the development of a herbal shampoo and reported its promising qualities for promoting hair growth and strength, indicating potential for further optimization as a cosmetic product.
5 citations
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January 2018 in “Skin Research and Technology” This letter compares automated digital image analysis (TrichoScan) with manual marking of hairs in male patients with androgenetic alopecia but reports no new results.
1 citations
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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
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June 2022 in “Jambura Journal of Mathematics” This review analyzes the research on production delivery strategies using n-vehicle, highlighting recent developments and suggesting areas for future study, but it reports no new experimental findings.
October 2023 in “Frontiers in Pharmacology” In this bibliometric study, researchers analyzed 96 publications from 2000 to 2022 to identify trends in HIV-1 capsid inhibitor research, highlighting the USA as a leading contributor and emphasizing the importance of molecular studies and drug discovery in advancing antiretroviral therapy.
9 citations
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August 2005 in “Experimental Dermatology” In this study, the researchers report that a modified epimorphin-derived peptide shows potential for hair follicle regeneration, especially when used with 1% minoxidil in mice.
21 citations
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November 2010 in “Talanta” This study reported the development of a novel and reliable liquid chromatographic method to measure testosterone and epitestosterone in human urine, offering sensitive detection for doping control.
3 citations
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October 2014 in “Pharmaceutical Development and Technology” This study found that an optimized microemulsion for minoxidil with high solubility, permeation flux, and skin deposition can be achieved with specific low and high levels of certain surfactants and co-solvents.
76 citations
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July 2019 in “Scientific Reports” This study found that baicalin delivery through polymeric nanocapsules significantly enhanced its anticancer activity in breast cancer cell lines MCF-7 and MDA-MB-231.
24 citations
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October 2024 in “Process Biochemistry” In this study, Gaussian process regression models combined with Grey Wolf optimization were used to predict and optimize phenolic and flavonoid content extraction from Carthamus caeruleus L. rhizomes, showing high accuracy and helping improve understanding and extraction processes through a new interactive tool.
40 citations
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April 2006 in “Journal of the European Academy of Dermatology and Venereology” This study reported that Trichoscan, a computer-assisted hair measurement system, was not supported as accurate for clinical trials due to errors in signal detection, despite its analysis speed.
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.
June 2026 in “International Journal of Bioprinting” This review found that 3D bioprinting significantly advances skin tissue engineering by enabling the creation of complex, patient-specific skin structures, though technological and regulatory challenges persist, particularly in areas like scalability and physiological mimicry.
236 citations
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July 2001 in “Trends in Molecular Medicine” This review discusses common hair loss conditions and explores how advancements in hair follicle biology might lead to more effective treatments but reports no new results.
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.
31 citations
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July 2015 in “Clinical, Cosmetic and Investigational Dermatology” This article discusses the challenges and possible solutions in hair restoration surgery, focusing on donor hair availability, hair survival, and concealing surgical evidence, and reports no new clinical results.
September 2025 in “Matics Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology)” This study found that among various predictive models for baldness risk, Random Forest Regression performed best with the lowest mean squared error and highest R², indicating strong predictive accuracy, especially with complex datasets, while Linear Regression was better suited to simpler datasets.
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.