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The Bethesda system is effective for identifying thyroid cancer but has low sensitivity.
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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 An Updated Nomenclature for Keratin-Associated Proteins (KAPs)
The document introduced a new naming system for keratin-associated proteins to improve clarity and communication across species.
research ENZYMES
Enzymes are classified into six types and are essential for many biological processes, with only a few targeted by drugs.
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.
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research Cytokeratin 7 and 20
CK7 and CK20 help identify and classify tumors for accurate cancer diagnosis.
research One of These Things Is Not Like the Others: The Idea of Precedence in Health Technology Assessment and Coverage Decisions
The conclusion is that formalizing how past decisions influence current health technology assessments could improve the credibility and defense of coverage decisions.
research Sexual difference, identification and object choice in individuals with sex differentiation disorders
Gender identity doesn't determine who people are attracted to or their sexual practices.
research Pre-trained classification of scalp conditions using image processing
The system can automatically classify scalp conditions with 85% accuracy.
research Differentiating central centrifugal cicatricial alopecia and androgenetic alopecia in african american men: report of three cases.
The document concludes that central centrifugal cicatricial alopecia (CCCA) should be considered in African American men with vertex hair loss and scalp symptoms, and that prompt diagnosis and treatment can slow disease progression.
research HOW AI CAN SUPPORT FOLLICULAR LYMPHOMA DIAGNOSIS
AI can help diagnose Follicular Lymphoma by accurately identifying specific cell types.
research A machine learning and network framework to discover new indications for small molecules
A machine learning model called CATNIP can predict new uses for existing drugs, like using antidepressants for Parkinson's disease and a thyroid cancer drug for diabetes.
research Compartmentalized Epidermal Activation of β-Catenin Differentially Affects Lineage Reprogramming and Underlies Tumor Heterogeneity
Activating β-catenin in different skin stem cells causes various types of hair growth and skin tumors.
research Quantification of mast cells in central centrifugal cicatricial alopecia
Mast cells may significantly contribute to central centrifugal cicatricial alopecia.
research Shared decision-making in central centrifugal cicatricial alopecia
Patients with central centrifugal cicatricial alopecia benefit from shared decision-making with their doctors.
research Central centrifugal cicatricial alopecia
CCCA is a common, progressive hair loss condition that may not always be linked to hair care practices and requires a biopsy for diagnosis.
research P154 Revised basic and specific (BASP) classification for pattern hair loss
The revised BASP classification for hair loss is less accurate and harder to use but could still be a viable option.
research OR20-01 Machine Learning-based Steroid Metabolome Analysis In Women With Polycystic Ovary Syndrome Reveals Three Distinct Androgen Excess Subtypes With Different Metabolic Risk Profiles.
Machine learning identified three unique subtypes of androgen excess in women with PCOS, each with different metabolic risks.
research Diagnostic and grading criteria for androgenetic alopecia using dermoscopy
New dermoscopic criteria accurately diagnose and grade the severity of hair loss in androgenetic alopecia.
research Lepidoptera Lexicon: Metaphorical Descriptors in Dermatology
Metaphors like "butterfly rash" and "moth-eaten" help doctors identify and describe skin conditions.
research Severity grading of dermatological emergencies based on comorbidities and systemic involvement: An observational study
Skin emergency severity rises with other health issues and affects multiple organs; a new grading system can improve patient care.
research Central Centrifugal Cicatricial Alopecia in the Adolescent Population: An Overview of Available Literature
CCCA affects adolescents too, with genetic and environmental links, requiring careful diagnosis.
research Pili trianguli et canaliculi as a phenotypic subtype in patients with central centrifugal cicatricial alopecia: A scanning electron microscopy study
Hair shaft changes may be linked to CCCA, but their role is unclear.
research Central Centrifugal Cicatricial Alopecia (CCCA)
CCCA is a common hair loss condition in African American women, often inherited and influenced by hairstyling, with unique scalp features detectable by special tools.
research Trichoscopy of Central Centrifugal Cicatricial Alopecia: A Retrospective Study and Literature Review
Early diagnosis with trichoscopy can improve management and quality of life for CCCA patients.
research 011 Central Centrifugal Cicatricial Alopecia (CCCA) Under the Scope: Histological Similarities between CCCA and Lichen Planopilaris
CCCA and lichen planopilaris have similar histological features, making them hard to distinguish.