Search

everythingexperts & clinicslearnfaqsresearchcommunity

for

Search:↓

In a comparative genomic study, researchers observed significant genetic differences among the three chemical races of the alga Botryococcus braunii, leading them to propose reclassifying these races as distinct species based on their unique genomic characteristics.

In this study, researchers found that sesamin, a component of sesamum, modulated the AR-MAPK-Wnt signaling pathway in DHT-stimulated HaCaT keratinocytes, demonstrating potential multi-target activity against molecular events in androgenetic alopecia.

This study used in-silico analyses to investigate papain's potential as a fibrinolytic agent and found that certain fibrin peptides displayed strong interactions with papain, suggesting it may be beneficial for cardiovascular disease treatment.

This book reviews the symptoms, diagnosis, and treatments for Polycystic Ovary Syndrome, providing a comprehensive exploration but reports no new clinical results.

This article reviews knowledge-sharing efforts in pharmaceutical sciences at the University of Sorocaba, highlighting global collaboration on rational medicine use, without reporting new study results.

This article discusses the Graduate Program in Pharmaceutical Sciences at the University of Sorocaba and emphasizes collaborating internationally to improve health policies and practices but reports no new research findings.

This review highlights the promise of non-viral gene delivery systems, particularly genosomes, over traditional viral vectors due to enhanced safety and efficiency in therapeutic nucleic acid delivery for genetic diseases like cystic fibrosis and malignancies.

In this study, nanoemulsion formulations were found to significantly enhance the skin retention of the antiseptic agent triclosan, with the optimal mixture being a low surfactant concentration, as demonstrated through quantitative and qualitative analysis using tape-stripping and micro CT scans.

Machine learning is effective in predicting gene functions and their relationships with diseases.

This paper describes an enzymatic method to isolate hair pigment from the keratin matrix without altering its chemical structure, but it presents no new results.

This review found that current forensic DNA phenotyping panels for biogeographical ancestry and visible traits face significant limitations due to inconsistencies in terminology, genetic understanding, and genotyping technologies, highlighting the need for harmonization and further research.

This study evaluated a novel, user-friendly approach for detecting hairfall trends over time using machine learning models. The Temporal Fusion Transformer model demonstrated high accuracy in identifying anomalies in hair shedding patterns, potentially aiding in the early detection of health risks related to hormonal fluctuations.

This review summarizes NCCN guidelines for prostate cancer early detection, focusing on strategies to maximize detection of potentially curable cases while minimizing unnecessary procedures, but it reports no new clinical findings.

This study found that RSL4 in Arabidopsis thaliana regulates genes necessary for root hair elongation by controlling proteins involved in cell signaling, cell wall modification, and secretion.

This review explores recent advancements in skin tissue engineering using 3D bioprinting, discussing current methods, bioink formulations, and outlining both achievements and limitations without presenting new clinical results.

This study found that integrating machine learning enhances the predictive accuracy of forensic DNA phenotyping from low template DNA, achieving high accuracy for traits like eye color, although challenges remain for admixed populations and complex traits.

This research identified unique gut microbiota patterns in alopecia areata patients, with potential as diagnostic biomarkers and suggesting avenues for microbiota-focused therapies.

This study found that Lgr5 and Lgr6 stem cells both activated wound-healing genes, but only Lgr5 stem cells changed their identity to contribute to new skin formation during wound repair.

This review summarizes advancements in forensic DNA phenotyping for appearance, ancestry, and age prediction from crime scene samples, reporting no new research findings but highlighting areas needing further research and validation.

In this study, researchers evaluated various machine learning models for predicting type 2 diabetes risk, finding that Random Forest and K-NN models performed best in terms of precision, recall, accuracy, and other metrics using common symptoms as features.

This study found that control of Demodex mite colonization in mice required skin ILC2s and IL-13, highlighting their role in maintaining HF integrity and limiting mite overgrowth.

This study introduces AlopeciaDet, a novel feature fusion technique, using camera images to detect Alopecia Areata with 99.45% accuracy, outperforming existing methods by leveraging CRSHOG and ResNet-50 features.

This study found that individuals with seborrheic alopecia had significant disruptions in their scalp microbiome, marked by imbalances in certain bacteria and fungi, and that a 12-week herbal shampoo intervention helped restore microbial diversity and improve clinical symptoms.

The LTF gene may help predict and manage nonspecific orbital inflammation.

In this study, researchers observed significant differences in hair follicle microbiome diversity and microbial composition between hair loss and healthy groups, uncovering specific patterns and functional changes associated with female pattern hair loss, which may aid future targeted approaches for androgenetic alopecia.

This study found that higher Dietary Inflammatory Index scores were significantly associated with an increase in both the occurrence and severity of alopecia areata.

This study reports that in systemic sclerosis, CD34+ dermal fibroblasts transition to CD34−, podoplanin+, and CD90+ fibroblasts across the dermis, suggesting a role in unchecked fibrosis.

In this study, a novel GAN-based image translation method focusing on regions of interest showed improved predictive performance for post-hair transplant images compared to existing methods, using an ensemble approach to enhance robustness and detection accuracy.

This study detected insomnia risk signals associated with various medications, primarily nervous system drugs, using the FDA's Adverse Event Reporting System data from 2004 to 2024.

This study reported the discovery of large-scale haplotypes (cenhaps) in human centromere regions, revealing deep genetic diversity, including introgressed Neanderthal and ancient African lineages.