research Chaos and antichaos in pathology
Understanding chaos and control mechanisms in disease can improve diagnosis and prediction in medicine.
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research ZASTOSOWANIE SZTUCZNEJ INTELIGENCJI W ECHOGRAFII SERCOWEJ: KORZYŚCI I RYZYKO
AI in heart scans improves diagnosis and treatment but has risks like misdiagnosis and high costs.
research Improving translational research in sex-specific effects of comorbidities and risk factors in ischaemic heart disease and cardioprotection: position paper and recommendations of the ESC Working Group on Cellular Biology of the Heart
The document concludes that future heart disease research should account for sex-specific differences to improve diagnosis, treatment, and outcomes.
research 644 Tumor cell adhesion as a risk factor for SLN metastasis and predictor of disease recurrence in primary cutaneous melanoma
Tumor cell adhesion is linked to higher risk of SLN metastasis and melanoma recurrence, and a model including these factors predicts these outcomes better than one with just clinical data.
research Characterization of Polycystic Ovary Syndrome Among Flo App Users Around the World
The Flo app showed that bloating, high cholesterol and glucose levels are common in women with Polycystic ovary syndrome (PCOS), and these symptoms increase with body mass index (BMI), suggesting a need to refine PCOS diagnosis criteria.
research Alopecia areata: Multivariate analysis for predicting its clinical course
Certain factors like patchy hair loss at the back of the head, being female, and younger age at diagnosis can lead to a worse outcome for alopecia areata.
research Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
Machine learning can effectively predict type 2 diabetes risk.
research Transcriptome analysis of frontal fibrosis alopecia revealed involvement of immune cells and ferroptosis
The research suggests that immune cells and a specific type of cell death called ferroptosis are involved in Frontal fibrosis alopecia.
research Cell‐free transcriptomic profiles and mechanism insights in female androgenetic alopecia
DNAJB9 cfRNA could help diagnose and treat female hair loss.
research Hair cortisol analysis: An update on methodological considerations and clinical applications
Hair cortisol analysis can help diagnose stress-related conditions but needs more refinement for widespread use.
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 Targeting a fibrotic bottleneck may provide an opening in the treatment of LUTS
New treatments targeting fibrosis could improve urinary symptoms in BPH.
research Universal Dermatology: Bridging Gaps in Skin Health
Inclusive dermatology aims to provide personalized skin care for all by addressing diverse needs and disparities.
research From the Microscopic Sweat Gland to Large Datasets: The Power of Quantitative Traits in Dermatology
Using quantitative traits in genetics can improve understanding and management of skin health and conditions.
research Boundary-aware Multi-stage with Mobile U-Net for Hair Segmentation in Dermoscopic Images
The new method improves hair segmentation in skin images, helping detect skin cancer more accurately.
research Adipose and Hair Function: An aPPARent Connection
Fat tissue and a specific protein are crucial for healthy hair growth and maintenance.
research Consensus Recommendations for the Management of Androgenetic Alopecia in Egypt: A Modified Delphi Study
Experts created guidelines for treating hair loss in Egypt, focusing on personalized care.
research Editorial: Progress and Prospects on Skin Imaging Technology, Teledermatology and Artificial Intelligence in Dermatology
New skin imaging, teledermatology, and AI could become key in future dermatology care.
research Unveiling the immune and vitamin profiles of blood: the potential biomarkers for alopecia areata
Certain immune markers and vitamin levels could help diagnose alopecia areata.
research Genetic Disorders and Defects in Vitamin D Action
Two rare genetic diseases cause severe rickets in children due to defects in vitamin D metabolism.
research Perspectives of Kennedy's disease
Kennedy's disease leads to muscle weakness and sensory issues, has no cure but manageable symptoms, and future treatments look promising.
research Dissolving microneedles: Applications and growing therapeutic potential
Dissolving microneedles show promise for delivering medication through the skin but face challenges like manufacturing complexity and regulatory hurdles.
research Pollen Allergies in Humans and their Dogs, Cats and Horses: Differences and Similarities
Humans and pets share similar allergy mechanisms, and studying pet allergies can help treat both human and animal allergies.
research Metabolic and pathologic profiles of human LSS deficiency recapitulated in mice
Mice with LSS deficiency showed hair loss and cataracts, similar to humans, and can help in understanding and treating this condition.
research Raman spectroscopy reveals biophysical markers in skin cancer surgical margins
Raman spectroscopy can help identify cancerous skin tissue during surgery.
research Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
VGG16 and VGG19 are the most accurate for classifying scalp and hair diseases.
research Keratin 79 is a PPARA target that is highly expressed by liver damage
Keratin 79 is linked to liver damage and may help diagnose liver diseases.
research American Society for Laser Medicine and Surgery - 2018 Late-Breaking Abstracts
New treatments and technologies in laser medicine show promise for improving skin conditions, fat reduction, cancer treatment, wound healing, and hair restoration.
research All ABSTRACT
Personalized, minimally invasive treatments improve urology outcomes.
research 411 THE POTENTIAL OF CIRCULATING ENDOTHELIAL CELLS AS PROGNOSTIC BIOMARKERS IN PROSTATE CANCER
CEC levels may be a useful marker for predicting prostate cancer progression.