research ANAIS DO I CONGRESSO MÉDICO DE FORMOSA - COMEF
Dutasteride is more effective and better tolerated than finasteride for hair loss treatment.
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research Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
Deep learning and explainable AI are improving scalp disorder diagnosis, but challenges in transparency and data quality remain.
research Enhancing Hairfall Prediction: A Comparative Analysis of Individual Algorithms and An Ensemble Method
Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
research The Dark Side of the Language: Pre-trained Transformers in the DarkNet
Pre-trained Transformers need extreme retraining to perform well on DarkNet data.
research In-silico studies in herbal drugs: A review
Computational methods can speed up and improve the development and safety of herbal drugs.
research Essential oils-based nanoemulsion formulation boosts hair growth in C57BL/6 mice as compared to minoxidil 2%
The essential oils nanoemulsion promotes hair growth better than 2% minoxidil in mice.
research Clinico-epidemiological study of cutaneous changes in pregnancy at a tertiary care centre in Puducherry
Most pregnant women experience common skin changes like linea nigra and stretch marks.
research 875 Clinical, Histologic and Immunohistochemical Characterization of Mixed Epithelial and Stromal Tumor of the Seminal Vesicle: A Systematic Review and a Novel Case Report
MESTSV is a rare tumor that is mostly benign but needs long-term monitoring due to potential recurrence.
research MSF-VMDNet for multi class segmentation of skin cancer whole slide images using a multi frequency dual encoder network
MSF-VMDNet accurately segments skin cancer images better than existing methods.
research 891 Comparison of phenotypes and transcriptomes of mouse skin-derived precursors and dermal mesenchymal stem cells
The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.
research Lentiviral Arrays for Live-cell Dynamic Monitoring of Gene and Pathway Activity During Stem Cell Differentiation
The lentiviral array can monitor and predict gene activity during stem cell differentiation.
research Clinically relevant skull models and optical measurement method to evaluate programmable hydrocephalus valve tool kit usability
Three skull models were found most useful for testing hydrocephalus valve programming.
research Application of Automated mRNA In Situ Hybridization for Formalin-fixed, Paraffin-embedded Mouse Skin Sections
Combining cell conditioning with mild protease digestion effectively shows versican mRNA in mouse skin sections.
research AI04 A novel machine learning software application for prognosticating cutaneous malignant melanoma based on data from 78 351 patients from the Surveillance, Epidemiology, and End Results (SEER) database
The new AI software predicts melanoma outcomes more accurately than traditional methods.
research Double-wavelength laser scanning microphotometer (DWLSM) for in-vitro hair shaft and surrounding tissue imaging
The DWLSM provides detailed imaging of hair shafts and follicles with high accuracy.
research Spatial transcriptomics of a giant pilomatricoma
The analysis of a large pilomatricoma revealed five distinct areas with different gene activity related to hair growth and tumor development.
research Editorial: Software survey section
research Clinical management of patients withASXL1mutations and Bohring-Opitz syndrome, emphasizing the need for Wilms tumor surveillance
Patients with Bohring-Opitz syndrome and ASXL1 mutations need regular kidney ultrasounds to check for tumors.
research scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
scINSIGHT accurately identifies cell clusters and gene patterns in complex data.
research The Use of Ovarian Vein Sampling to Lateralize a Virilizing Leydig Cell Ovarian Tumor
Ovarian vein sampling can effectively locate ovarian tumors when imaging is unclear.
research AORTOCAVAL PARAGANGLIOMA IN VON HIPPEL-LINDAU DISEASE
VHL disease can cause early paragangliomas, needing lifelong monitoring.
research Detection of Meibomian Gland Dysfunction by in vivo Confocal Microscopy Based on Deep Convolutional Neural Network
The model can effectively help diagnose meibomian gland dysfunction automatically.
research Non-small cell lung carcinoma spheroid models in agarose microwells for drug response studies
The platform effectively grows lung cancer cell spheroids for drug testing.
research A volar skin excisional wound model for in situ evaluation of multiple-appendage regeneration and innervation
The study concluded that the new wound model can be used to evaluate skin regeneration and nerve growth.
research Case report: Novel p.Val306Met missense mutation in TRPV3 in a case of Olmsted syndrome accompanied by squamous cell carcinoma
A new gene mutation linked to Olmsted syndrome may increase cancer risk, suggesting the need for ongoing patient monitoring.
research VISIA Skin Analysis System as a Tool to Evaluate the Reduction of Pigmented Skin and Vascular Lesions Using the 532 Nm Laser
The 532 nm laser effectively reduces facial vascular and pigmented lesions, with the VISIA system reliably assessing treatment results.
research In Vivo Confocal Microscopy for Automated Detection of Meibomian Gland Dysfunction: A Study Based on Deep Convolutional Neural Networks
research A discriminant multi-scale histopathology descriptor using dictionary learning
The new image descriptor helps identify skin cancer structures with good accuracy.
research Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach
Machine learning can accurately identify Alopecia Areata, aiding in early detection and treatment of this hair loss condition.
research HairSentinel: a time-aware anomaly detection framework for forecasting hairfall trends using temporal fusion transformers
"HairSentinel" accurately detects hairfall trends using simple user data, helping identify health risks early.