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This study found that Wistar rats fed with grass extracts from mining areas accumulated trace metals, particularly in the spleen, leading to organ pathology and signs of toxicity.

Acne is linked to inflammation and insulin resistance, and is associated with various syndromes that require different treatments.

This reference list, part of a book by Alex Gough, Alison Thomas, and Dan O'Neill, compiles citations from veterinary journals on various canine and feline health issues, but reports no new research findings.

This chapter reviews adverse effects of anti-anginal and beta-blocker drugs, stating that starting a beta-blocker may temporarily affect driving ability, but it reports no new clinical findings.

This article reviews techniques for restoring appearance following scalp injuries and highlights the versatility of scalp expansion, advancement flaps, and follicular unit hair transplantation, but it provides no new clinical results.

This review reports that sonidegib and vismodegib, two Hedgehog inhibitors used for treating advanced basal cell carcinoma, have similar efficacy and safety profiles, but differ in pharmacokinetics, with sonidegib achieving peak concentration more rapidly and reaching steady state later than vismodegib.

This research introduces WomenCare, a web-based system using a machine learning model to predict PCOD risk by evaluating factors like age, BMI, and lifestyle habits; it aims to help women monitor their health but is not a substitute for a professional diagnosis.

Reflectance confocal microscopy can noninvasively diagnose onychomatricoma by showing unique features different from healthy nails or nail fungus.

This study describes the development of a prototype clinical expert system that uses a belief rule-based inference methodology to improve the risk stratification and diagnosis of polycystic ovary syndrome by addressing uncertainties in clinical data and domain knowledge.

This study developed a new clustering model to improve detection of drug-induced cognitive disorder risk signals, finding that it identified drugs with moderate risk signals, like Carbidopa/Levodopa, missed by traditional methods, enhancing clinical assessment comprehensiveness.

This dissertation proposes a framework for analyzing medical images on mobile devices but presents no new research findings, focusing instead on development methodologies and their applications to hair transplant and glaucoma contexts.

This review outlines the practical use of reflectance confocal microscopy in dermatology, detailing its applications and considerations for diagnosing various skin conditions, but reports no new findings.

Reflectance confocal microscopy helped diagnose and manage a woman's hair loss without needing a biopsy.

This study proposes an AI-based method, DRGCC, using GraphSAGE and clustering constraints to predict associations between drugs and diseases, demonstrating reliable predictive performance that may aid drug repositioning efforts, including exploring drugs for COVID-19 treatment.

This study introduces Kalya Research, an AI-driven tool designed to identify and categorize literature on complementary and alternative medicines, showing its effectiveness compared to Medline in finding relevant alopecia research within the context of breast cancer patients.

This review examines the reliance on formalized and automated protocols in fields like aviation and medicine, suggesting that such approaches may hinder the human capability of mètis needed to handle emergencies and dynamic ambiguities; it reports no new results.

This study introduced rPanglaoDB, an R package that facilitates the integration of public scRNA-seq datasets to effectively characterize rare cell types, exemplified by generating the first unbiased transcriptome profile of fibrocytes.

In this reported case of SAPHO syndrome, methotrexate treatment led to significant clinical improvement after other treatments for skin lesions and arthritis proved less effective.

In this study, ozonized sunflower oil effectively healed skin wounds in a dog and a cat over 30 and 50 days, respectively, with no side effects, showing faster hair regrowth and improved local metabolism.

This case report describes a rare aggressive variant of squamous cell carcinoma on the scalp of a non-immunosuppressed older male, highlighting its high biological risk for metastasis and poor outcomes.

This review discusses the evolution of Cereblon ligands in PROTAC technology, highlighting chemical innovations that may enhance drug-likeness and applicability in protein degradation, while noting challenges and future research directions.

This study reported that connective tissue nevi show distinctive dermoscopic and RCM features, with RCM being particularly helpful for diagnosing lesions of less than one year in duration.

This study introduces PROMETHEUS, a framework that organizes causal claims from scientific texts into navigable and persistent "causal atlases," enhancing research by highlighting localized evidence, agreement, and contradictions within complex data sets.

In this study, R-CSLM showed promise in evaluating hair shaft diseases by providing high-quality images of hair structures, although further development is necessary for follicle and perifollicular area analysis.

This study demonstrates the use of rPanglaoDB, an R package for combining public single-cell datasets, to create the first unbiased transcriptome profile of fibrocytes, revealing their role in tissue healing.

This study found that liarozole is more effective than cyproterone acetate for improving PSA response and survival in metastatic prostate cancer after first-line endocrine therapy, while maintaining quality of life.

This study introduced a pre-formal ontology matching approach using 39 identified dimensions to integrate drug information, improving database normalization and supporting complex use cases.