Diffusion models, variational autoencoders, and generative adversarial networks (GANs) are three common types of generative artificial intelligence models for image generation. Among these, GANs are the most frequently used for medical image generation and are often employed for data augmentation in various studies. However, due to the adversarial nature of GANs, where the generator and discriminator compete against each other, the training process can sometimes end with the model unable to generate meaningful images or even producing noise.
View Article and Find Full Text PDFACS Appl Mater Interfaces
January 2025
Selective therapeutic targeting of T-cell malignancies is difficult due to the shared lineage between healthy and malignant T cells. Current front-line chemotherapy for these cancers is largely nonspecific, resulting in frequent cases of relapsed/refractory disease. The development of targeting approaches for effectively treating T-cell leukemia and lymphoma thus remains a critical goal for the oncology field.
View Article and Find Full Text PDFThis study evaluated the effectiveness of intraovarian platelet-rich plasma (PRP) injection in improving ovarian response and embryo quality in IVF patients with poor embryo quality in previous controlled ovarian hyperstimulation (COH) cycles. 74 patients participated, with 30 in the control group and 44 in the PRP group. PRP was injected during the follicular phase for the PRP group.
View Article and Find Full Text PDFBackground: Continent catheterizable channels (CCC) are a mainstay for reconstruction in patients with neurogenic bladders. Common complications include false passage, channel stenosis/difficult catheterization, channel incontinence, and stomal stenosis. This may result in the need for surgical revision or replacement.
View Article and Find Full Text PDFStem and progenitor cell mitosis is essential for tissue development and homeostasis. How these cells ensure proper chromosome segregation, and thereby maintain mitotic fidelity, in the complex physiological environment of a living animal is poorly understood. Here we use in situ live-cell imaging of C.
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