research AutoMIR: Effective Zero-Shot Medical Information Retrieval without Relevance Labels
SL-HyDE improves medical information retrieval accuracy without needing labeled data.
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research Generating detailed intercellular communication patterns in psoriasis at the single-cell level using social networking, pattern recognition, and manifold learning methods to optimize treatment strategies
New insights into cell communication in psoriasis suggest innovative drug treatments.
research Resting no more: re‐defining telogen, the maintenance stage of the hair growth cycle
The telogen phase of hair growth is active and important for preparing hair follicles for regeneration, not just a resting stage.
research Expression and roles of steroidogenic acute regulatory (StAR) protein in ‘non-classical’, extra-adrenal and extra-gonadal cells and tissues
The protein StAR is found in 17 different organs and can affect hair loss and brain functions, but its full role is not yet fully understood.
research GABAAreceptor modulation by neurosteroids in models of temporal lobe epilepsies
Neurosteroids change how GABA_A receptors work in the brain, which could be important for treating temporal lobe epilepsy.
research Estimation methods for human circadian phase by use of peripheral tissues
New method uses hair follicle cells to estimate human body clock phase, potentially improving sleep disorder diagnosis.
research Computational derivation of a molecular framework for hair follicle biology from disease genes
The research provides a gene-based framework for hair biology, highlighting the Hippo pathway's importance and suggesting links between hair disorders, cancer pathways, and the immune system.
research Exploring the Potential of DALL-E 2 in Pediatric Dermatology: A Critical Analysis
DALL-E 2 is only accurate for acne in pediatric dermatology and needs better data for other conditions.
research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research Development of predictive regression model for perceived hair breakage in Indian consumers
The model predicts hair breakage based on key hair properties and helps product developers.
research Wasabi leaf extract changes the expression levels of cytokine related genes in dermal papilla cells, which identified by the whole transcriptome
Wasabi leaf extract affects gene expression in skin cells.
research The Circadian Clock in Skin
The skin's internal clock affects healing, cancer risk, aging, immunity, and hair growth, and disruptions can harm skin health.
research Local circadian clock gates cell cycle progression of transient amplifying cells during regenerative hair cycling
Hair grows faster in the morning and is more vulnerable to damage from radiation due to the internal clock in hair follicle cells.
research Identifying molecular targets for reverse aging using integrated network analysis of transcriptomic and epigenomic changes during aging
Curcumin may help reverse aging by targeting specific genes.
research Dermal Adipocyte Lipolysis and Myofibroblast Conversion Are Required for Efficient Skin Repair
Fat cells in the skin help start healing and form important repair cells after injury.
research The dark art of light measurement: accurate radiometry for low-level light therapy
Most low-level light therapy studies did not accurately report how light was measured, affecting treatment reliability.
research Recent advances in cellulose nanocrystals-based sensors: A review
Cellulose nanocrystals are promising for making effective, sustainable sensors for various uses.
research Comparison of Linear Regression, Decision Tree Regression, and Random Forest Regression Algorithms in Predicting Baldness Risk
Random Forest Regression is best for predicting baldness risk.
research Deep Insight of Design, Mechanism, and Cancer Theranostic Strategy of Nanozymes
Nanozymes show promise for effective and safe cancer treatment.
research Ethanol Enhances Neurosteroidogenesis in Hippocampal Pyramidal Neurons by Paradoxical NMDA Receptor Activation
Ethanol boosts brain steroid production by activating NMDA receptors, affecting memory formation.
research A use-and-transformation model for evaluating public R&D: Illustrations from polycystic ovarian syndrome (PCOS) research
The document suggests a new model for evaluating public research that better captures the full value of knowledge creation and use, using PCOS research as an example.
research Label-free concurrent 5-modal microscopy (Co5M) resolves unknown spatio-temporal processes in wound healing
Co5M offers a new way to observe and understand wound healing without labels.
research Hair Loss Diagnosis Using Artificial Neural Networks
Neural networks can effectively predict hair loss.
research Effects of molybdenum on growth and fruit quality of small fruit melon (Cucumis melo L.) cultivated under high-temperature stress
Using 0.1 mg·L–1 molybdenum improves melon growth, quality, and yield under high heat.
research Comparative regenerative mechanisms across different mammalian tissues
Understanding different species' regeneration can improve mammalian healing.
research Androgen receptors and their biology
Androgen receptors are key for development and health, affecting conditions like prostate cancer and male pattern baldness.
research What controls hair follicle cycling?
The control system for hair growth cycles is not well understood and needs more research.
research Optimization of ultrasound-assisted extraction of bioactive compounds from Carthamus caeruleus L. rhizome: Integrating central composite design, Gaussian process regression, and multi-objective Grey Wolf optimization approaches
Optimal conditions for extracting beneficial compounds from Carthamus caeruleus L. rhizomes were identified, improving efficiency.
research An Integrated Approach for Diabetes Detection Using Fisher Score Feature Selection and Capsule Network
The method accurately detects diabetes with 94% effectiveness, reducing misdiagnosis risk.
research A computationally inferred regulatory heart aging model including post-transcriptional regulations
Researchers created a model to understand heart aging, highlighting key genes and pathways, and suggesting miR-208a as a potential heart attack biomarker.