Publications by authors named "L Serra-Garcia"
AI image classification algorithms have shown promising results when applied to skin cancer detection. Most public skin cancer image datasets are comprised of dermoscopic photos and are limited by selection bias, lack of standardization, and lend themselves to development of algorithms that can only be used by skilled clinicians. The SLICE-3D ("Skin Lesion Image Crops Extracted from 3D TBP") dataset described here addresses those concerns and contains images of over 400,000 distinct skin lesions from seven dermatologic centers from around the world.
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- Sweet syndrome is a skin condition linked to various medical issues, with a study in Spain analyzing 93 patients from 2001 to 2021 to uncover its characteristics and associations with malignancy and other disorders.* -
- The majority of cases were either idiopathic, associated with malignancies like acute myeloid leukaemia, or reactive to infections, with specific symptoms and histological types identified, showing that pain and nodules relate to subcutaneous-Sweet syndrome.* -
- Key findings indicate that male sex, fever, and other clinical factors are linked to malignancy in Sweet syndrome patients, suggesting that careful monitoring and a 6-month follow-up are important for those experiencing relapses, especially with myelodys
Article Synopsis
- Immune checkpoint inhibitors (ICI) improve cancer treatment but can trigger immune-related conditions, including dermatomyositis (DM).
- This study analyzed three DM cases linked to ICI from a patient cohort and reviewed existing literature on the topic.
- All cases were associated with specific ICI drugs and showed a strong presence of anti-TIF1γ autoantibodies, suggesting these antibodies may contribute to developing DM in some patients.