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Popliteal Artery Entrapment Syndrome (PAES) is a rare but possible cause of leg pain during walking, even in untrained women.

3D skin bioprinting has advanced but still faces challenges like safety and the need for better integration with sensors.

The new method improves accuracy in segmenting scalp tissue layers.

The new method improves skin cancer detection in imbalanced datasets.

Adding obesity data to machine learning models improves heart disease prediction accuracy.

The method greatly improves low-light sports images' quality and reduces artifacts.

Adjusting AI training data for skin condition distribution improves accuracy across different clinical settings.

Self-supervised learning improves medical image classification accuracy.

Reliable machine learning in medical imaging needs bias checks and data drift detection for consistent performance.

Minoxidil helped a boy regrow his hair after intense chemotherapy for leukaemia.

Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.

The improved algorithm enhances low-dose CT image quality significantly better than other methods.

The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.

The new model improves Alopecia Areata classification accuracy to 93.1%.

A deep learning model was developed to help diagnose trichothiodystrophy by analyzing hair patterns.

A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.

Topical booster improves hair loss treatment effectiveness.

Stiffness gradients in alginate gels can guide cancer cell invasion and study cellular behaviors.

The DNN-DTIs method accurately predicts drug-target interactions and is useful for drug repositioning.

The updated GRADE guidance advises considering context when interpreting variability in research results and introduces tools for assessing subgroup effects.

The model accurately predicts hair loss severity in alopecia areata.

Machine learning can use blood tests to help predict moderate-to-severe alopecia areata.

The AI device accurately grades scalp exfoliation and can help diagnose scalp disorders.

Stem cell-enriched fat grafts improve facial hyperpigmentation better than conventional grafts.

The new deep learning system can accurately recognize hair loss conditions with a 95.11% success rate.

A new method makes analyzing large datasets with rare events faster and more efficient.

Men have higher COVID-19 mortality rates than women due to biological and lifestyle factors.

The flexible fixed-sequence testing method allows for more effective evaluation of multiple goals in a clinical trial while controlling the risk of false positives.

A 3-month stay in space causes skin thinning, disrupts hair growth, and changes muscle-related genes in mice.