14 citations
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September 2025 in “Gels” This review reports that sodium alginate-based hydrogels show promise in biomedical applications due to their biocompatibility and versatility, but challenges such as mechanical strength and stability remain, highlighting the need for continued research to facilitate their clinical transition.
8 citations
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January 2024 in “Current Research in Food Science” This study found that using composite alginate hydrogels containing Aloe vera, CMC, and tragacanth can improve the encapsulation efficiency and protect pumpkin seed protein hydrolysates from degradation during simulated gastrointestinal digestion, potentially increasing their applicability as functional food components.
7 citations
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January 2023 in “ACS Applied Materials & Interfaces” This study found that probiotic-functionalized silk fibroin/alginate scaffolds, loaded with Lactobacillus casei, promoted scarless wound healing and hair follicle regeneration in infected wounds in rats.
7 citations
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July 2022 in “Plastic & Reconstructive Surgery” This study describes a management approach for scalp electrical injuries, emphasizing thorough debridement as key to successful reconstruction outcomes.
7 citations
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March 2021 in “Biology” This study found that silk fibroin/sodium alginate scaffolds seeded with dermal papilla cells may accelerate skin repair and hair follicle regeneration in a rat model.
6 citations
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July 2022 in “Biomedical Signal Processing and Control” This study presents a new hair removal algorithm for dermatoscopic images of skin lesions that improves hair detection accuracy by 2–7% and hair repair accuracy by 2–5% on average, using advanced techniques like maximum variance fuzzy clustering, Criminisi priorities, and the ant colony algorithm.
5 citations
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February 2025 in “Journal of Clinical Medicine” This study introduced a non-invasive, three-step diagnostic algorithm for alopecia that combines clinical and trichoscopic features to accurately identify alopecia subtypes, potentially reducing reliance on invasive histopathology.
2 citations
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July 2024 in “Materials Today Communications” In this study, an injectable alginate hydrogel with Fibronectin3 was developed, demonstrating high biocompatibility and ability to enhance wound healing in mice, suggesting promise for clinical application in treating irregular wounds.
2 citations
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July 2023 in “Water” In this study, the genotoxic effects of the 2020 harmful algal bloom event were linked to specific toxic algal groups affecting Tradescantia plants, making Trad-SHM and Trad-MN tests suitable for evaluating HABs' toxic potential.
This research developed a zinc-doped nanocomposite using biodegradable materials, observing effective bone targeting and regeneration capabilities in vivo, with no observed cytotoxicity in the MG63 cell line, potentially due to blocking Farnesyl Diphosphate Synthetase to inhibit osteoclastic activity and promote osteogenesis.
1 citations
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January 2021 in “SISTEMASI” This study found that the multi-thresholding method was the most effective for segmenting hair during laser removal, as it clearly distinguished hair patterns with minimal noise.
1 citations
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December 2006 in “Annals of the New York Academy of Sciences” Green algae can break down finasteride, reducing environmental harm.
November 2021 in “Revista Ibero-Americana de Humanidades, Ciências e Educação” This paper evaluates the therapeutic response of androgenetic alopecia to topical application of specific compounds using digital drug delivery but reports no new clinical results.
January 2026 in “RSC Advances” This study found that the natural polymer-based hydrogel Gel/SA@PL released growth factors in a controlled way, which enhanced tissue regeneration and minimized scarring in the healing of diabetic wounds.
June 2025 in “Jurnal Bumigora Information Technology (BITe)” In this study, researchers aimed to develop a Naive Bayes algorithm to predict hair loss risk based on personal and clinical data, including age, gender, stress levels, hormones, and family history. Results were not reported.
December 2024 in “Tropical Journal of Natural Product Research” This study aimed to enhance the skin penetration of brown algae fucoidan using a Nanostructured Lipid Carrier, achieving a formulation with good physical quality and stability.
September 2024 in “Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi” In this study, the XGBoost algorithm successfully diagnosed polycystic ovary syndrome with an accuracy of 0.87 using a dataset from Kerala, suggesting its usefulness for classification problems in healthcare.
April 2024 in “Archives of Dermatological Research” This research review explores an algorithmic approach to scalp reconstruction, emphasizing the importance of considering defect location, size, and local scalp anatomy in optimizing cosmetic and functional surgical outcomes.
December 2023 in “Journal of biobased materials and bioenergy” The algae grew better and fixed nitrogen more efficiently when they worked together, using nitrogen and iron.
May 2023 in “ACS Biomaterials Science & Engineering” This study found that a silk fibroin/sodium alginate scaffold effectively delivers human umbilical mesenchymal stem cells to promote scarless wound healing and hair follicle regeneration in vivo by inducing specific cellular processes and mitigating endoplasmic reticulum stress.
July 2019 in “Ferroelectrics” The researchers reported that increasing protein content in human hair keratin/calcium alginate blend films led to larger molecular aggregates, which influenced the films' physical properties such as light transmittance and tensile strength.
May 2015 in “Journal of The American Academy of Dermatology” This review discusses an algorithm using patient history, clinical examination, and tests to help diagnose hair loss in women, but it reports no new clinical results.
December 2022 in “Acta Biomaterialia” Corrections were made to a previous work on 3D printing a gel-alginate mix for creating hair follicles, but the main finding - that this method can help grow hair - remains the same.
50 citations
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December 2011 in “Skin Research and Technology” In this study, the researchers reported that their novel algorithm for hair restoration in dermoscopy images achieved high accuracy and texture preservation, outperforming other techniques in diagnostic accuracy and texture quality measures.
31 citations
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May 2018 in “Seminars in Plastic Surgery” This article reviews lip reconstruction techniques after Mohs surgery, presenting an algorithm to aid decision-making based on defect location and tissue involvement, and reports no new clinical results.
22 citations
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November 2022 in “Materials & Design” This study found that using a combination of Alginate-TEMPO-oxidized cellulose nanofiber-α-tocopherol membranes and Pluronic-α-tocopherol hydrogels facilitated better wound healing in diabetic rats through enhanced angiogenesis and no observable toxicity compared to using each treatment individually.
11 citations
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November 2023 in “Journal of Functional Biomaterials” This study investigated nanocomposite scaffolds made from alginate, chitosan, and graphene oxide to promote the proliferation of spermatogonial stem cells, finding the ALGCS/GO30 scaffold to be particularly effective due to increased proliferation markers and PLZF protein expression compared to controls.
8 citations
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January 2024 in “Regenerative Biomaterials” This study found that a novel bioceramic/alginate hydrogel with photothermal properties and multiple ion release effectively reduces infection and inflammation, and enhances osseointegration in early-stage peri-implant lesions, potentially improving dental implant survival rates.
8 citations
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April 2022 in “Nutrients” In this study, Ishige sinicola extract was observed to improve bone density and structure in an animal model of estrogen deficiency-induced osteoporosis, suggesting its potential as a therapeutic option for postmenopausal osteoporosis by inhibiting osteoclast formation without cytotoxic effects.
5 citations
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July 2023 in “Journal of Autonomous Intelligence” This study evaluates a framework using neural networks and machine learning techniques to classify and detect Alopecia Areata from hair images, aiming for accurate differentiation between healthy hair and the condition.