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This case report suggests the co-occurrence of systemic lupus erythematosus and an eating disorder in an adolescent may be linked through shared adolescent stress factors rather than neuropsychiatric lupus, despite algorithmic indications.

This study introduces MicrobeFDT, a tool that clusters chemically similar compounds and links them to gut microbial enzymes and toxicities, demonstrating its utility by uncovering previously unknown metabolism of the cancer drug altretamine.

This study found that a lentiviral array of reporters can identify lineage-specific promoters and pathways in mesenchymal stem cell differentiation, aiding in the prediction of signaling pathway effects.

This study analyzed deep learning's application to automate hair density measurement in images and found that YOLOv4 had the best performance among tested algorithms, with a mean average precision of 58.67.

This article reviews infertility diagnosis and initial management for advanced practice clinicians, emphasizing the role of midwives and advanced practice nurses, but reports no new clinical findings.

This study found that ATR-FTIR spectroscopy combined with machine learning effectively differentiated alopecia areata patients from healthy controls with an AUC of 0.85, and also showed promise in predicting treatment response, particularly through alterations in the Amide I band.

In this study, researchers found that differences between self-ratings and assessor ratings of facial appearance vary by age and ethnicity, and these discrepancies, along with assessor ratings of skin features, are predictive of menopausal status across ethnic groups.

In this study, researchers evaluated deep learning methods for diagnosing Alopecia Areata and found that a modified Inception-Resnet-v2 model achieved a high validation accuracy of 97.94% and loss of 10.4%, suggesting it as an effective tool for classifying alopecia-affected hair.

This study developed a two-step diagnostic model using transcriptome biomarkers from hair follicles to improve the accuracy of methamphetamine use disorder diagnosis, achieving high prediction accuracy in distinguishing non-recovered and almost-recovered patients from healthy controls.

This study reviews methods to ensure the reliability of machine learning models in medical imaging, focusing on bias detection, data drift assessment, and accuracy estimation without ground truth labels to enhance integration into clinical settings.

This review found that while forensic DNA phenotyping and health applications for pigmentation genetics show potential, factors like phenotype definition and population diversity present challenges to accurate genotype-to-appearance predictions.

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.

This study identified distinct plasma miRNA profiles in alopecia areata that may aid in diagnosis and therapy, but further validation is needed to confirm these exploratory findings.

In this study, researchers developed a method to create a synthetic dataset of facial acne images using generative techniques, achieving 97.6% classification accuracy with InceptionResNetv2, which helps overcome privacy concerns in biomedical applications by using anonymized data.

This research explores the impact of advanced technologies, such as machine learning and robotics, on cardiothoracic surgery, noting that innovations like artificial hearts and enhanced circulatory support systems may improve patient outcomes by aiding diagnostics, surgery planning, and postoperative care.

This study discusses the development of AI in dermatology and cosmetology, noting its use in skin cancer diagnosis and personalized cosmetics, while highlighting uncertainties about whether recent advancements represent significant medical progress or are influenced by marketing strategies.

In this lecture, Dr. Anna Gorecka and Dr. Ewa Bieber discuss how social media has influenced the rise of cosmetic surgery and patient expectations, as well as its connection to self-esteem and body dysmorphic disorder. Results are not reported in this summary.

This study highlights the benefits of virtual surgical planning in orthognathic and facial trauma surgeries, noting its ability to enhance understanding of complex 3D anatomical relationships, reduce operation time, and integrate multidisciplinary approaches, including robotic assistance for real-time adjustments and customized implants.

This study discovered that androgenetic alopecia disrupts the scalp microbiome balance across the whole scalp, not just areas with hair loss, and introduced a microbial index for early detection and severity prediction.

This study reports identifying 12 candidate genes potentially involved in regulating hair follicle development in cashmere goats, which could contribute to improving cashmere production.

This study found that a novel missense mutation in the vitamin D receptor caused hereditary 1,25-dihydroxyvitamin D-resistant rickets with alopecia by disrupting protein function, highlighting the importance of DNA binding in hair development.

This paper critically evaluates the role of AI in cosmetic surgery, highlighting its potential to enhance precision, tailor treatment, and improve patient outcomes, while also addressing ethical, legal, and regulatory challenges that complicate its integration into clinical practice.

This study explains finasteride's high potency and specificity as a mechanism-based inhibitor for treating benign prostatic hyperplasia by detailing its interaction with human type 2 steroid 5α-reductase.

This study observed that while TikTok offers the best flow for videos on laryngeal cancer, YouTube provides higher quality, but video quality overall needs professional enhancement and platform algorithm improvements.

This article reviews the coordination of the hypothalamic-pituitary-gonadal axis, male fertility, and therapies for hypogonadism, but reports no new clinical findings.

This review suggests that isotretinoin's effects on severe acne and various cancers may result from apoptosis, which might also explain its adverse effects through genetic variability.

This review discusses the potential applications and advantages of encapsulating single cells for use in therapeutics and diagnostics, while also evaluating various methods for effectively creating and sorting single-cell units despite challenges in production and cost.

This study identified key genes involved in hair follicle development in Merino sheep, offering insights for improving wool production and providing a basis for future breeding programs.

This review discusses the diagnostic challenges of androgen and estrogen-secreting adrenal tumors and highlights that the presence of metastases is the most reliable indicator of malignancy; it reports no new clinical findings.

This study found that components derived from Uromedic® pumpkin seeds, especially Δ7-sterols, may inhibit DHT production and AR binding, potentially benefiting prostate and bladder health by moderating these mechanisms.