Search

everythingexperts & clinicslearnfaqsresearchcommunity

for

Search:↓

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.

In this study, the authors used AI-driven methods to identify and prioritize promising therapeutic targets that may address both aging and Glioblastoma Multiforme, proposing CNGA3, GLUD1, and SIRT1 as novel candidates.

In this study, researchers measured the solubility of Minoxidil in supercritical CO₂ under various temperature and pressure conditions and created models to estimate solubility based on different predictive approaches.

In this study, researchers used Google Search ads to gather an open access dataset of 10,408 dermatological images from over 5,000 U.S. internet users, enhancing the diversity and representativeness of skin condition images available for research and artificial intelligence development.

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.

This review synthesizes recent research to propose a precision framework for treating androgenetic alopecia and alopecia areata based on genetic insights and pathway biology, highlighting the roles of androgen-receptor signaling, immune dysregulation, and emerging therapies like regenerative medicine and AI-assisted diagnostics.

This source provides an overview of diagnostic and treatment innovations for gastrointestinal disorders, such as wireless capsule technology for motility assessment and new methods for treating constipation and nausea, highlighting both current and emerging techniques.

This review discusses the advantages of robotic hair transplantation using the ARTAS iX robot compared to manual Follicular Unit Extraction, emphasizing enhanced precision, speed, and hair preservation capabilities, and reports no clinical results.

Acne is a common skin condition linked to diet, hormones, and genetics, and early treatment can prevent scarring.

This review discusses the diagnosis, treatment, and management of atopic dermatitis in developing countries and identifies significant unmet medical needs, particularly in access to care and effective treatments; it reports no clinical results.

This review discusses the various potential causes of hair loss in patients with inflammatory bowel disease, including telogen effluvium from disease flares, but provides no prevalence data; the authors outline a practical assessment and management approach.

This study introduced the KRDQN predictive framework, which outperformed existing methods in predicting adverse drug reactions and provided interpretable insights into drug mechanisms, aiding pharmacovigilance and clinical decision-making.

This study highlights the clinical potential of microneedles as an innovative transdermal drug delivery system for treating various skin diseases with minimal pain and high patient compliance.

This literature review explores the role of biomarkers in personalized medicine for various dermatological conditions like Hidradenitis Suppurativa, Psoriasis, and Atopic Dermatitis, highlighting how they guide targeted therapies and the limitations of current markers in specificity, as reported by the authors.

This review discusses the clinical efficacy, safety, and mechanisms of Autologous Micrografting Technology for androgenetic alopecia, reporting significant short-term improvements in hair density and thickness.

This study discusses the rising interest in drug repositioning, particularly in response to COVID-19, and highlights various computational and experimental approaches used for repurposing existing drugs across different diseases, including rare conditions and chronic kidney disease.

This review highlights recent advancements in using nanotechnology for scar prevention and treatment, emphasizing the unique properties of nanomaterials in drug delivery and the challenges that remain in maximizing their potential for effective scar interventions.

This study introduces a novel computational model using fuzzy logic and multi-criteria decision-making techniques to create a triage system for androgenetic alopecia management, stratifying patients into seven severity levels and aiding in resource allocation and treatment planning.

AI and advanced technologies are improving medical diagnostics and treatments.

This article discusses the increasing trend of retargeting existing drugs for new indications and emphasizes the need for additional support in drug development, without reporting specific new results.

This review explores the use of topical and transdermal delivery for drugs and cosmetics, highlighting the benefits of avoiding side effects and rapid metabolism, with a focus on nanoparticulate formulations and techniques for studying skin penetration.

This review highlights that microRNAs (miRNAs) play crucial roles in hair follicle development and cycling in cashmere goats, detailing recent advances in understanding their regulatory functions and potential applications in improving cashmere fiber quality and diagnosing hair disorders.

This review highlights new perspectives in genomics and epigenomics for skin rejuvenation, comparing innovative strategies like senolytics and DNA repair modulators with classical treatments, and emphasizing the importance of tailoring therapies using individual genomic profiles for personalized anti-ageing approaches.

This study used computational methods to identify six molecules, with jamogenin being particularly promising, that effectively bind to and inhibit the enzyme linked to male pattern hair loss, suggesting these compounds could be explored further for hair growth potential.

This review highlights that drug repositioning offers a cost-effective alternative to traditional drug discovery, especially for treating orphan and resistant diseases like COVID-19, by repurposing existing drugs such as Hydroxychloroquine and Remdesivir.

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.

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.

In this review, the potential role of the hormone prolactin in skin biology and its implications for treating skin diseases and hair disorders are explored, with a focus on its stress-related impacts and possible immunomodulatory function in the context of COVID-19.

In this study, researchers developed a computational method called iEdgePathDDA that prioritizes anticancer drug candidates by analyzing changes in gene interactions, demonstrating superior performance compared to existing methods across colorectal, breast, and lung cancer datasets.

This review identified two promising therapeutic targets for drug repurposing to treat refractory angina in patients with angina pectoris without obstructive coronary artery disease: endothelin-1 receptor blockers and soluble guanylate cyclase stimulators.