For intermediate- and high-risk nonmuscle invasive bladder cancer (NMIBC), intravesical Bacillus Calmette-Guérin (BCG) therapy is the standard adjuvant treatment following transurethral resection of bladder tumor. Although intravesical BCG therapy improves disease progression and bladder preservation in most patients, there are still a considerable number of BCG-unresponsive cases, for whom radical cystectomy (RC) is the recommended salvage treatment option. However, RC is associated with high morbidity and mortality rates, and alternative treatment options are needed. New approaches, such as intravesical chemotherapy, device-assisted treatments, immune checkpoint inhibitors, viral gene therapy, antibody-drug conjugates, fibroblast growth factor receptor inhibitors, and other novel agents are being investigated. This review aims to provide an overview of the recent trials for BCG-unresponsive NMIBC.

No abstract available.
Central Nervous System* ; Cognition* ; Lymphoma*

No abstract available.
Cyclosporine ; Peroneal Neuropathies

The authors recently found a mistake in their previously published article.

The development of lab-on-a-chip technology based on microfluidics has been used from diagnostic test to drug screening in biomedical science. Lab-on-a-chip technology is also being expanded to the concept of an organ-on-a-chip with the development of cell biology and biocompatible material development. In addition, artificial intelligence (AI) has brought dramatic changes over the past few years in science, industry, defense, science and healthcare. AI-generated output is beginning to prove comparable or even superior to that of human experts. Lab-on-a-chip technology in specific microfluidic devices can overcome the above bottlenecks as a platform for building and implementing AI in a large-scale, cost-effective, high-throughput, automated and multiplexed manner. This platform, high-throughput imaging, becomes an important tool because it can generate high-content information which are too complex to analyze with conventional computational tools. In addition to the capabilities of a data provider, lab-on-a-chip technology can also be leveraged to enable AI developed for the accurate identification, characterization, classification and prediction of objects in heterogeneous samples. AI will provide quantitative and qualitative analysis results close to human in the urology field with lab-on-a-chip.