research Evaluation of anti-Zika virus activities of broad-spectrum antivirals and NIH clinical collection compounds using a cell-based, high-throughput screen assay
Researchers found several compounds that could potentially treat Zika virus.
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research rwSALT: a regrowth-weighted SALT score providing direct pixel-level measurement rather than visual estimation
rwSALT provides precise hair regrowth measurement from scalp photos.
research Impact of electrical impedance spectroscopy on dermatologists' number needed to biopsy metric and biopsy decisions for pigmented skin lesions
research Concordance Among In-Vivo Reflectance Confocal Microscopy, Trichoscopy, and Histopathology in the Evaluation of Alopecia Areata Incognita
Reflectance confocal microscopy is a promising non-invasive tool for diagnosing alopecia areata incognita.
research On the Use of Micro-Imager<sup>®</sup> to Directly Visualize Drug Distribution in Human Skin
Micro-Imager® helps see how drugs spread in human skin.
research Evaluation of Serum Level of Zinc Alpha 2 Glycoprotein in Male Patients with Androgenetic Alopecia
Men with male pattern baldness have higher blood sugar, bad cholesterol, and ZAG protein levels than healthy men.
research Progress in computer-assisted function analysis
research Inferring Spatially Resolved Transcriptomics Data from Whole Slide Images for the Assessment of Colorectal Tumor Metastasis: A Feasibility Study
Using deep learning to predict gene expression from images could help assess colorectal cancer metastasis.
research GAN-Based ROI Image Translation Method for Predicting Image after Hair Transplant Surgery
The new method predicts post-hair transplant images more accurately than other methods.
research Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
The model accurately detects early-stage hair loss using images.
research Contrast enhanced phototrichogram (CE-PTG): an improved non-invasive technique for measurement of scalp hair dynamics in androgenetic alopecia–validation study with histology after transverse sectioning of scalp biopsies.
CE-PTG is a better method for analyzing hair growth in androgenetic alopecia.
research Electron beam tomography quantitation of coronary calcium and assessment for ischemic coronary disease: a complement to stress testing
Electron Beam Tomography (EBT) is a useful additional test to stress testing for detecting heart disease.
research Improved Hidden Markov Algorithm Based on Bayes in Low Dose CT Images
The improved algorithm enhances low-dose CT image quality significantly better than other methods.
research Advancing Hair Loss Assessment in Alopecia Areata: The Mathematical Case for Centralised, Standardised Imaging
Centralized imaging provides more accurate and consistent hair loss measurements in alopecia areata.
research ISID0192 - Three-dimensional ultra-high frequency ultrasound facilitates image processing to visualize microstructural changes of hair follicles and detects distinct disease phases of alopecia areata
3D-ultrasound can non-invasively detect and predict alopecia areata phases and outcomes.
research The Cross-section Trichometer: A New Device for Measuring Hair Quantity, Hair Loss, and Hair Growth
The Cross-section Trichometer is a new tool that can measure hair quantity and detect hair loss and growth.
research Quantifying hair shape and hair damage induced during reshaping of hair.
New imaging and testing methods can effectively assess hair shape changes and damage.
research TrichoScan
TrichoScan accurately measures hair growth and loss, showing increased hair counts and thickness with treatment.
research Evaluation of a new X-ray fluorescent analysis technique for the creation of a Nordic hair database: elemental distributions within the root and the virgin segment of hair fibers.
The new X-ray technique allows for precise and non-destructive measurement of elements in hair, creating the first database of its kind for a specific ethnic group.
research Comparison of Quantitative Evaluation and Conventional Scar Scale Analysis for Pediatric Pathological Scars
Antera 3D® offers more precise and detailed scar assessment than traditional methods.
research 489 Seborrhea-like dermatitis phenotype in the Mpzl3 knockout mice
MPZL3 is crucial for seborrheic dermatitis development.
research Hair color digitization through imaging and deep inverse graphics
A new method accurately captures and renders hair color for virtual reality and hair dye use.
research Xiaozhi Yufa decoction ameliorates androgenetic alopecia through inhibition of MAPK signaling and regulation of lipid metabolism
Xiaozhi Yufa decoction may help treat hair loss by improving hair growth and reducing inflammation.
research 203 Automated skin surface phenotype for melanoma risk assessment
An automated method accurately assesses melanoma risk using 3D body images to analyze skin traits.
research rwSALT: a regrowth-weighted SALT score providing direct pixel-level measurement rather than visual estimation
rwSALT accurately measures hair regrowth in alopecia areata using scalp photos.
research Brigham Eyebrow Tool for Alopecia: A Reliable Assessment of Eyebrow Alopecia Areata
The Brigham Eyebrow Tool for Alopecia is a simple and reliable way to measure eyebrow hair loss.
research CSI on steroids
Forensic DNA phenotyping can help generate new leads in cold cases but faces accuracy, legal, and acceptance challenges.
research Genomic Portraiture: The Science and Ethics of DNA Phenotyping in Identity Prediction
DNA phenotyping can predict physical traits like eye, hair, and skin color, improving forensic investigations.
research Development and Assessment of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices
The AI tool helped primary care doctors and nurse practitioners diagnose skin conditions more accurately.
research Flow-guided hair removal for automated skin lesion identification
The new method removes hair from skin images quickly and accurately to help identify skin lesions better.