research The emerging progress on wound dressings and their application in clinic wound management
Future wound dressings will be smart, multifunctional, and improve personalized medicine.
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research Toward a Diagnostic Score in Cushing's Syndrome
The document suggests creating a validated score to diagnose Cushing's Syndrome and considers plasma steroid profiling as a simpler diagnostic method.
research LabeledIn: Cataloging labeled indications for human drugs
Researchers created LabeledIn, a detailed list of drug uses, showing the importance of human input in making such lists.
research Discrimination between basal cell carcinoma and hair follicles in skin tissue sections by Raman micro-spectroscopy
Raman micro-spectroscopy can help distinguish basal cell carcinoma from hair follicles in skin tissue.
research Advancements in 3D skin bioprinting: processes, bioinks, applications and sensor integration
3D skin bioprinting has advanced but still faces challenges like safety and the need for better integration with sensors.
research Integrated flow injection-solid phase spectrophotometric determination of minoxidil
New method measures minoxidil concentration faster, more accurately, and automatically.
research Dermoscopy: not just for dermatologists
Dermoscopy is useful for many health professionals, not just dermatologists, in improving skin condition diagnoses and reducing unnecessary biopsies.
research The atypical ‘hippocampal’ glutamate receptor coupled to phospholipase D that controls stretch‐sensitivity in primary mechanosensory nerve endings is homomeric purely metabotropic GluK2
A special receptor in sensory nerve endings helps control how they respond to stretching.
research Follicular unit extraction hair transplant automation: Options in overcoming challenges of the latest technology in hair restoration with the goal of avoiding the line scar
Follicular Unit Extraction (FUE) hair transplant is less invasive, leaves no scars, and has quicker recovery times, but it's more time-consuming and challenging. Automation helps speed up the process and improve graft survival, reducing the need for traditional strip surgery.
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 Update on Outcome Measures for Pediatric Systemic Lupus Erythematosus
New tools and criteria have been developed to better assess and treat pediatric lupus.
research A Quantitative Measurement Method for Nuclear-Pleomorphism Scoring in Breast Cancer
A new method accurately measures cell changes in breast cancer.
research Development of Free Testosterone Chemiluminescence Detection Kit and Its Clinical Application
The new testosterone detection kit is accurate, cost-effective, and useful for diagnosing diseases.
research Long-term live imaging, cell identification and cell tracking in regenerating crustacean legs
A new method allows detailed tracking of cell regeneration in crustacean legs.
research Convolutional Neural Networks for Non-Invasive Diagnosis of Androgenetic Alopecia using Dermoscopic Hair Images
Deep learning can improve non-invasive alopecia diagnosis using hair images.
research High-Precision On-line Total Phenolic Compounds Analysis Oxidized by Folin Ciocalteu: Application to Ziziphus Jujuba Extract
A new method accurately measures phenolic compounds in Ziziphus Jujuba extract quickly and efficiently.
research Σχεδιασμός και υλοποίηση συστήματος επεξεργασίας εικόνας καθώς και μαθηματικών αλγορίθμων βελτιστοποίησης της μεταμόσχευσης ανθρωπίνων τριχοθυλακίων με την τεχνική FUE
The document concludes that the FOLLYSIS© system improves hair transplant processes and patient monitoring with high accuracy and less skin trauma.
research A quantitative technique to analyze and evaluate microstructures of skin hair follicles based on mueller matrix polarimetry
The technique accurately identifies and evaluates hair follicle structures in skin.
research Printable Hairline Designs and Hectographic Templates: Novel Tools for Hairline Creation and Graft Placement in Men
Printable templates improve hair transplant accuracy and efficiency.
research Digital measurement of melasma: Towards eliminating subjectivity from treatment evaluation
The digital system for measuring melasma shows promise but needs more development for better accuracy and automation.
research Capability, Opportunity, and Motivation—Identifying Constructs for Increasing Physical Activity Behaviours in Women with Polycystic Ovary Syndrome (PCOS)
Boosting motivation can increase physical activity in women with PCOS.
research Smart Diagnostic System for Health Risk Assessment
WomenCare helps predict PCOD risk in women to encourage early medical consultation.
research Developing a Device for Collecting of Hair Follicles for Non-incision Hair Transplantation
Researchers developed a new device that improves non-incision hair transplant efficiency.
research RF-Scalp Cooling
Scalp cooling reduces chemotherapy-induced hair loss without increasing risk of skin metastases.
research Proceedings of the III International Scientific and Practical Conference
The conference emphasized innovative solutions for global challenges, including disaster architecture, education, health, and economic impacts.
research Assessment of chemokines MIP-1α and MIP-1 βin Iraqi women with polycystic ovarian syndrome
PCOS is linked to low-grade chronic inflammation.
research AnnoPharma: Detection of substances responsible of ADR by annotating and extracting information from MEDLINE abstracts
AnnoPharma effectively identifies substances causing adverse drug reactions in medical abstracts.
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.
research Machine Learning--Enhanced Pharmacovigilance Assessment of Cardiac Adverse Events Associated With Minoxidil
Minoxidil is strongly linked to heart problems, and machine learning can improve drug safety checks.