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This commentary discusses how microphthalmic-associated transcription factor levels in circulating tumor cells correlate with melanoma progression and suggests the factor may be up-regulated in vivo, but it reports no new clinical results.

This study found that the WNMFDDA model effectively predicts drug-disease associations, achieving high accuracy in cross-validation and confirming most candidate associations through existing databases.

This study provides genomic and epigenomic insights into the white wax scale insect, highlighting high methylation levels and differential hormone profiles linked to its sexual dimorphism and developmental differences.

This review highlights the evolution of forensic genetics from basic DNA analysis to complex genome-wide studies, enabling insights into personal traits, ancestry, and habits, and suggests future advancements through technologies like CRISPR and AI.

This study found that the genes MYLK and CALD1 were expressed at lower levels in bladder cancer and osteosarcoma tissues compared to normal tissues, and their expression levels appeared to correlate with poorer survival outcomes, suggesting they may be important in disease progression and prognosis.

This review highlights that the combination of ultrasound and microneedles can enhance transdermal drug delivery by using physical and energy-driven mechanisms to improve drug penetration into deeper skin layers, with implications for precision medicine and chronic disease treatments.

This study found that nanoparticles can penetrate the skin, but artifacts produced during specimen preparation complicate accurate observation, and proposed a method for reducing errors in imaging quantum dots as tracers.

Combining certain treatments, including FOL005, may improve healing of difficult wounds.

In this study, researchers analyzed over 5,000 T cells per sample using scRNA+TCR-seq technology and found that dual TCR Tregs are present in high proportions across various mouse tissues, showing unique TCR pairing patterns, V(D)J usage, and mRNA expression compared to single TCR Tregs.

This review discusses micro-segmental hair analysis for forensic toxicology, emphasizing its potential to provide detailed drug distribution profiles and its application in investigations, while noting the method's limitations and future perspectives.

This study presents a method using liquid chromatography tandem mass spectrometry to quantify biotin in plasma and serum, and explores how high biotin intake can interfere with diagnostic immunoassays that utilize biotin-streptavidin technology, potentially leading to misdiagnosis of endocrine disorders.

This study identified key genes linked to immune cells and potential therapeutic compounds for alopecia areata by evaluating upregulated genes from patient datasets, highlighting T and NK cell involvement in hair follicle attack and suggesting drug candidates through molecular docking and dynamics simulations.

In this study, deep learning models accurately predicted gene expression in whole slide images of colorectal cancer, with convolutional neural networks outperforming transformer and graph-based approaches in spatial RNA pattern prediction.

This study reports that a clinical prognostic model based on immune-related genes improved survival prediction for patients with clear cell renal cell carcinoma, also identifying potential drugs targeting the gene DOCK8.

This study conducted de novo transcriptome sequencing in sheep skin, identifying and annotating numerous unigenes, which may aid in improving wool quality and understanding hair follicle development.

This article discusses the impact of PROTACs technology in transforming drug discovery with its novel degradation mechanism, but it reports no new experimental findings.

The new method can measure sleep-related hormones in hair effectively and could help track long-term sleep patterns.

Developing microRNA-based treatments is hard but has potential.

This study presents iSiMPRe, a method identifying protein regions enriched in mutations, revealing potential cancer-related genes and enhancing understanding of mutation effects across a wide range of cancer types.

This study aims to use a comprehensive health data set to develop a statistical model that can improve personalized and preventive health care by understanding relationships between various health parameters in individuals.

This study identified changes in immune activation, ferroptosis, and structural genes in alopecia areata subtypes, suggesting molecular markers that might help understand disease variability and guide future treatments.

In this study, researchers developed a non-invasive, partially automated protocol for extracting DNA from marmoset hair follicles, resulting in high-quality whole genome sequencing with low chimerism levels, making it a reliable method compared to blood DNA sequencing in these primates.

This study found that using hair steroid profiling, dutasteride treatment led to reduced dihydrotestosterone levels and DHT/testosterone ratio in patients with male-pattern baldness.

This study concluded that the GIANT brain atlas, which integrates genetic and neuroanatomical variations, provides a more accurate representation of brain structure than traditional neuroanatomical atlases, allowing for better exploration of genetic influences on the brain.

This study reviews the transformative role of artificial intelligence in biomaterial design, highlighting its ability to reduce costs through virtual screening, enhance material performance, and predict biological interactions to advance personalized and precision medicine.

This review discusses the impact of endocrine-disrupting chemicals on pediatric health, linking them to various disorders, and calls for improved biomonitoring strategies and precautionary policies.

In this study, periodic exposure to red light in aged mice led to increased histone acetylation and activated mitochondrial fatty acid oxidation, which collectively mitigated cellular aging by modulating metabolism, inflammation, and gene expression.

This study developed a testosterone propionate-induced C57BL/6 mouse model of androgenetic alopecia, demonstrating that high-dose, prolonged testosterone administration inhibited hair regrowth and mirrored human AGA pathology, providing a useful platform for studying hair loss mechanisms and testing therapies targeting the Wnt/β-catenin pathway.