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This study reported that introducing the TERT and Bmi1 genes into mouse dermal papilla cells resulted in immortal cells capable of inducing new hair follicles in vivo, and human immortal DPCs were also developed.

This study explored postpartum body image and menstruation experiences among 11 UK mothers, identifying themes of body dissatisfaction and the stress of resumed menstruation, while highlighting the need for better healthcare support and the positive role of reframing body perceptions towards functionality.

In this study, researchers developed a method to create a synthetic dataset of facial acne images using generative techniques, achieving 97.6% classification accuracy with InceptionResNetv2, which helps overcome privacy concerns in biomedical applications by using anonymized data.

This study found that hair luster increased with higher fiber pigmentation and application of specific cosmetic oils and styling resins, while micronized ZnO and synthetic sebum dulled hair.

This study found that a deep learning approach successfully predicted three types of hair and scalp diseases with high accuracy, despite challenges in dataset availability and image variety.

TrichoScan accurately measures hair growth and loss, showing increased hair counts and thickness with treatment.

Image analysis can effectively identify changes in scalps affected by chemotherapy-induced hair loss.

This study found that Mueller Matrix microscopy can accurately identify, detect, and evaluate hair follicles in mouse skin tissue, suggesting its potential for skin structure research and dermatological applications.

This study found that dermatologists in São Paulo reported increased confidence in teledermatology over one year, citing its utility for triage and diagnosis, particularly for superficial infections and pigmentary disorders.

This scoping review describes the current use of artificial intelligence in alopecia research, highlighting AI's evolution from diagnostic to prognostic applications in dermatology and identifying gaps in multimodal integration and fairness across demographics.

This study found that utilizing a clinical pharmacist in perioperative urological services reduced surgical cancellations and resident overtime while improving service efficiency and financial sustainability.

In this study, researchers identified two person-centered sexual function profiles among women, linked to physical and psychological factors, with PCOS showing greater, though not significant, presence in the dysfunction profile. The dysfunction was associated with higher adiposity and body-image distress.

This study found that individuals with androgenetic alopecia experience significantly higher symptoms of anxiety, depression, and stress compared to controls, along with reduced self-esteem and life satisfaction, highlighting the importance of addressing psychological well-being in clinical treatments.

This study suggests that androgenetic alopecia may increase the risk of developing depression, but depression does not significantly contribute to the onset of androgenetic alopecia.

This study found that the TrichoScan software effectively differentiated between androgenetic alopecia and telogen effluvium in women with diffuse hair loss, aligning with clinical diagnoses.

This study found that camera trap images revealed mange-like skin lesions in snow leopards and other species in Kyrgyz reserves, with detection rates varying widely and raising concerns about disease spread.

This study found that DALL-E 2 performed poorly in generating accurate images of most pediatric dermatological conditions, highlighting the need for more domain-specific and inclusive training data.

This study developed a novel system that can automatically estimate hair loss parameters from images without expert input, reporting satisfactory results from testing on samples collected in Kolkata.

This study proposes a method for automatically removing hairs from skin lesion images by using edge-tangent flow for hair detection and texture synthesis for restoring occluded regions with minimal artifacts.

This thesis presents research conducted in partial fulfillment of a Master's degree in Software Systems Engineering but does not report new empirical findings.

This study observed that hair characteristics significantly impact daily life, self-image, and well-being, varying by gender, ethnicity, and country, suggesting a need for interventions to address these psychological and social effects.

This study found that Follicular Maps, derived from trichoscopic images, remained consistent over time and unaffected by hair cycling or noncicatricial alopecia, offering a precise tool for diagnosing and monitoring hair and scalp conditions.

This study used in vivo confocal microscopy and a ResNet34 deep learning model to classify meibomian gland images with an AUROC greater than 0.95, indicating its potential for automatic diagnosis and screening of meibomian gland dysfunction.

This study used TikTok videos to explore experiences of individuals with lupus erythematosus, revealing that mucocutaneous symptoms significantly impact mental health and body image, while pharmacologic treatments are often viewed negatively, leading to important implications for clinical interactions and validation.

This study found that after four weeks of daily use, the roughness of the hair surface significantly decreased, as shown through quantitative image analysis using HIROX.

This study found that men appearing in photos after a hair transplant were perceived by observers as younger, more attractive, more successful, and more approachable compared to their pretransplant images.

The document concludes that Passiflora incarnata could help with anxiety, telemedicine might improve heart failure care, screen time for kids has increased, pregnant teens in Brazil are mostly okay with their body image, rare tuberculosis infection can occur after knee surgery, older and severely ill people are more likely to have long COVID-19 symptoms, HPLC might diagnose more diabetes cases, and psychiatrists should be involved in pain management.

The document concludes that Passiflora incarnata may help with anxiety, healthcare workers need mental support, common bacteria cause hospital UTIs, telehealth for heart failure needs research, kids' screen time has increased, pregnant teens are mostly okay with their body image, diagnosing post-surgery tuberculosis is hard, older and severely ill people are more likely to have long COVID symptoms, and psychiatrists should be part of pain management teams.

Passiflora incarnata may help with anxiety but has risks and drug interactions. There's a genetic link between Fragile X Syndrome and Autism Spectrum Disorder. 6.7% of urine cultures showed hospital-acquired urinary tract infections. Children used screens more during COVID-19, causing various health complaints. Autism Spectrum Disorder is often underdiagnosed in females. Dissociative disorders in childhood sexual abuse victims are more common in males. Most pregnant teenagers are not dissatisfied with their body image but worry about weight. Diagnosing tuberculosis after knee surgery is challenging due to non-specific symptoms. Post-COVID-19 syndrome is more common in older, severely affected patients. Psychiatrists should be part of pain management teams due to the psychological aspects of pain.

In this paper, Chemistry42—a software integrating AI with computational and medicinal chemistry—demonstrated efficiency in designing novel molecular structures targeting DDR1 and CDK20, with properties validated in both in vitro and in vivo studies.