research Developing a Framework for Sources of New Product Ideas
The authors suggest systematically sourcing new product ideas from various internal and external places to improve innovation.
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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 Relative efficacy of monotherapies for male pattern hair loss: protocol for a network meta-analysis study
research LOP11
The rib-sparing technique in breast reconstruction may lead to more complications without reducing the need for further surgery.
research A technique for more precise distinction between catagen and telogen human hair follicles ex vivo
Researchers developed a new method using methylene blue staining to more accurately identify the growth stage of human hair follicles.
research 1747 PREDICTION OF BLADDER PROSTATIC OBSTRUCTION: DEVELOPMENT OF A SIMPLIFIED CLINICAL NOMOGRAM
Researchers created a simple tool to predict bladder blockage from prostate enlargement using urine flow rate and prostate volume.
research Integrated edge information and pathway topology for drug-disease associations
iEdgePathDDA effectively finds new drug-disease links, outperforming other methods.
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 W6: Novelties in hair analysis and interpretation issues
Hair analysis can be unreliable due to external contamination and varying drug concentrations.
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 Pre-trained classification of scalp conditions using image processing
The system can automatically classify scalp conditions with 85% accuracy.
research Efficacy of modern methods for assessing the severity of alopecia areata
The SBN system effectively assesses alopecia areata severity and predicts its course.
research Hair evaluation methods: Merits and demerits
Different hair evaluation methods have their own pros and cons, and using multiple methods together is best for accurate hair loss diagnosis and tracking.
research Piebaldism in tree shrews
research [Techniques for evaluating the course of androgenetic alopecia].
research Camouflage technique for alopecia areata: What is a patient to do?
The document suggests using hairpieces, wigs, and safe cosmetic techniques to hide hair loss from alopecia areata.
research LOP11
The rib-sparing technique in breast reconstruction may lead to more complications without reducing the need for further surgery.
research Development and validation of the Brigham Eyelash Tool for Alopecia (BELA): A measure of eyelash alopecia areata
The Brigham Eyelash Tool for Alopecia (BELA) is a reliable way to measure eyelash loss in alopecia areata patients.
research Matrix effects and application of matrix effect factor
Matrix effects in LC-MS can be managed but not completely avoided.
research Peer Review #2 of "Computational drug repositioning based on side-effects mined from social media (v0.1)"
Reviewers suggested the study on finding new drug uses through social media side-effects needs better methods and clearer limitations.
research PRECISE Scale: a quantitative classification for androgenetic alopecia and its application to hair transplantation
The PRECISE scale helps estimate how many grafts are needed for hair transplant based on the severity of hair loss.
research RESEARCHComparing Strategies for Identifying Falls in Older Adult Emergency Department Visits Using EHR Data
Natural language processing is the most accurate method for identifying falls in older adults in emergency departments.
research Methods of evaluating hair growth
Global photography and phototrichogram techniques are the best current methods for measuring hair growth.
research Optimizing hair transplant outcomes: integration of AI, robotics, and stem cell therapies
New technologies like AI, robotics, and stem cells have made hair transplants more effective and natural-looking.
research Improved forensic hair evidence for drugs of abuse by mass spectrometry
Forensic hair analysis for drugs is now more reliable and accurate.
research Peer Review #3 of "Computational drug repositioning based on side-effects mined from social media (v0.3)"
Reviewers criticized the study's methods and suggested focusing on drug mechanisms instead of repositioning due to social media data quality concerns.
research What is the best sampling region for endocrine hair analysis? A comparison between the posterior vertex and occipital region and recommendation for standardization
The occipital region is best for measuring cortisol and cortisone, while the posterior vertex is better for OEA, SEA, and PEA.
research Congenital ptosis repair with a frontalis silicon sling: comparison between Fox's single pentagon technique and a modified Crawford double triangle technique
The modified Crawford technique resulted in less lagophthalmos and better cosmetic outcomes for patients with lateral droop.
research Abstract ED05-04: Presurgical models to effectively screen preventive agents
Presurgical models can effectively and affordably screen cancer prevention agents.
research Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
Researchers developed an algorithm for self-diagnosing scalp conditions with high accuracy using smart device-attached microscopes.