Artificial Intelligence-Based Classification and Segmentation of Bladder Cancer in Cystoscope Images.

Background/objectives: Cystoscopy is necessary for diagnosing bladder cancer, but it has limitations in identifying ambiguous lesions, such as carcinoma in situ (CIS), which leads to a high recurrence rate of bladder cancer. With the significant advancements in deep learning in the medical field, several studies have explored its application in cystoscopy. This study aimed to utilize the VGG19 and Deeplab v3+ deep learning models to classify and segment cystoscope images, respectively.

Anesthetic Approaches and Their Impact on Cancer Recurrence and Metastasis: A Comprehensive Review.

Cancer recurrence and metastasis remain critical challenges following surgical resection, influenced by complex perioperative mechanisms. This review explores how surgical stress triggers systemic changes, such as neuroendocrine responses, immune suppression, and inflammation, which promote the dissemination of residual cancer cells and circulating tumor cells. Key mechanisms, such as epithelial-mesenchymal transition and angiogenesis, further enhance metastasis, while hypoxia-inducible factors and inflammatory responses create a microenvironment conducive to tumor progression.

Changing Treatment and Metastatic Disease Patterns in Patients with EGFR Mutated NSCLC: An Academic Thoracic Medical Investigator's Consortium Registry Analysis.

Introduction: Osimertinib is now a standard first-line (1L) therapy for EGFR-mutated (EGFRm) advanced NSCLC. We aimed to characterize patterns of therapy and longitudinal risk of brain and liver metastasis in a cohort of EGFRm NSCLC.

Methods: Patients with metastatic EGFRm NSCLC who received 1L systemic therapy at sites within the Academic Thoracic Medical Investigator's Consortium were included; demographic and clinical data including treatment patterns were described.

Biophysical and Structural Features of αβT-Cell Receptor Mechanosensing: A Paradigmatic Shift in Understanding T-Cell Activation.

αβT cells protect vertebrates against many diseases, optimizing surveillance using mechanical force to distinguish between pathophysiologic cellular alterations and normal self-constituents. The multi-subunit αβT-cell receptor (TCR) operates outside of thermal equilibrium, harvesting energy via physical forces generated by T-cell motility and actin-myosin machinery. When a peptide-bound major histocompatibility complex molecule (pMHC) on an antigen presenting cell is ligated, the αβTCR on the T cell leverages force to form a catch bond, prolonging bond lifetime, and enhancing antigen discrimination.