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This study found that using a formulated herbal hair oil, which includes ingredients like Nigella sativa and Cocos nucifera, reduced hair fall progressively over periods ranging from 15 to 90 days among 25 volunteers, showing greater efficacy than simple purified coconut oil.

Accidental findings have led to new hair treatment discoveries, like using blood pressure and diabetes medications for hair loss and unwanted hair.

This study found that seed oil of Caragana korshinskii demonstrated high antifungal efficacy against Trichophyton mentagrophytes in an in vivo guinea pig model of dermatophytosis.

This study found that monounsaturated oils like olive oil penetrate hair fibers effectively, whereas polyunsaturated oils typically do not penetrate beyond the cuticle.

This study found that Shengfu oil may enhance wound healing in scalded rabbit skin by regulating proteins β-catenin, Dlk1, and COX-2, due to its anti-inflammatory, analgesic, and antimicrobial properties.

This study suggests that a candlenut oil nanoemulsion formulation could enhance hair growth activity in Sprague Dawley rats, with stability for up to 14 days at room temperature.

The study found that cyproterone acetate could be released over 15 days using coconut oil mixed with certain wax inhibitors, though further safety studies are needed.

This research found that feather pattern formation in birds is regulated by a mechanochemical system involving fibroblast growth factor and bone morphogenetic protein signaling, which is altered in the flightless emu and ostrich.

The researchers reported that differences in brain functional connectivity between unmedicated seasonal affective disorder patients and healthy controls vary with ICA model order, peaking in volume at model order 70.

This study introduced a novel deep clustering approach for melanoma detection from dermoscopic images, demonstrating improved performance over existing methods by mitigating class imbalance issues using a center-oriented margin-free triplet loss.

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.

In this study, researchers developed a wearable red and blue LED patch and a sprayable fibrin gel to treat infected wounds at home, demonstrating effective infection control and enhanced wound healing in diabetic mice and minipigs.

This review discusses the data resources and computational models used in drug repositioning, highlighting their role in discovering unknown drug mechanisms and reports no new empirical results.

This review discusses how mineral deficiencies, particularly iron and zinc, affect health globally and explores bio-fortification and other strategies to combat these deficiencies, but reports no new experimental results.

In this study, patients with seasonal affective disorder were found to have increased functional connectivity in certain brain networks and higher low-frequency fluctuations compared to healthy controls, which aligns with their attentional and psychomotor symptoms.

In this study, researchers identified a gene expression pre-pattern and implicated the Wnt inhibitor Dickkopf 4 in the formation of color patterns in domestic cat embryos.

This study used machine learning models to analyze PCOS symptoms for early diagnosis, finding Support Vector Machine and VGG16 algorithms achieved high accuracy rates of 94.44% and 98.29% respectively.

This study introduces a new multimodal imaging technology to visualize and quantify cell dynamics in natural skin over long durations, demonstrated in GFP bone marrow-transplanted mice, to study dynamic skin regeneration.

Light scatters differently from elliptical hair fibers than from circular ones, and a new model better predicts this behavior, especially for shiny highlights.

In this animal study, atorvastatin co-administered with trastuzumab reversed trastuzumab-induced cognitive impairment (chemo-brain) and improved its anti-cancer efficacy without causing hair loss.

This study identified aging-related epigenetic and transcriptomic biomarkers and suggested that curcumin might target and inhibit the JUN gene, implicating potential therapeutic strategies against aging.

This review discusses the classification and regulation challenges of anti-ageing cosmetics in Europe and reports no new findings; it calls for increased transparency to help consumers make informed choices.

This study demonstrated that the Turing bifurcation, typically a pitchfork bifurcation under zero-flux conditions, becomes transcritical under fixed boundary conditions, highlighting the importance of considering boundary condition variations in morphogenetic analyses.

This study presents a computational approach, CATNIP, which repurposes drugs using only their biological and chemical information, predicting new uses like adrenergic uptake inhibitors for Parkinson's and vandetanib for Type 2 Diabetes.

This article discusses the significant impact of shame on diabetes self-management and emphasizes the need to address it in therapy, although it presents no new clinical results.

This study reports on a new semantic annotation approach used to identify substances in MEDLINE abstracts responsible for adverse drug reactions, with promising performance shown by a prototype system.

This study developed a deep learning model using the VGG architecture to predict hair disorders and provide tailored therapeutic suggestions, showing reliable recognition of conditions like dandruff, fungal infections, and alopecia by analyzing images of hair and scalp.

This study found that men with androgenetic alopecia at age 20 years may have a higher risk of developing aggressive prostate cancer, particularly advanced stage disease.

This study observed that using the Fisher score feature selection approach with capsule network models led to a promising 94% accuracy in diabetes detection, indicating its potential as a diagnostic tool.

This thesis presents research conducted in partial fulfillment of a Master's degree in Software Systems Engineering but does not report new empirical findings.