小智ai知识库

Cancer is a major global health concern, causing millions of deaths each year due to the uncontrolled growth and spread of abnormal cells. Despite advances in diagnosis and treatment, its complexity and therapy resistance keep it a leading cause of mortality. This review highlights the impact of CADD and related computational approaches in advancing cancer research and therapy.

Perioperative use of ACE inhibitors (ACEIs) and angiotensin II receptor blockers (ARBs) has been linked to early postinduction hypotension requiring vasopressor use under general anesthesia, potentially leading to complications like acute renal injury, myocardial injury, or stroke. However, the relationship between perioperative ACEI/ARB use and major morbidity remains uncertain.

Current cardiopulmonary resuscitation (CPR) includes breaks to check rhythm and pulse, while high-quality CPR requires continual chest compressions. Artificial intelligence (AI)-driven "closed-loop" or "near-closed-loop" systems may evaluate CPR-contaminated signals, guide shock and pulse decisions.

Glioblastoma (GBM) is an aggressive primary malignant brain tumor in adults with a median patient survival of 12-18 months post-diagnosis, and no effective treatments, to date. The PI3K/Akt and Wnt/β-catenin signaling pathways promote GBM cell growth, survival, invasiveness and therapeutic resistance. We hypothesize that inhibiting Akt and β-catenin, which are central regulatory proteins of the PI3K/Akt and Wnt/β-catenin pathway, will suppress GBM growth and progression.