Glioblastoma cells alter brain endothelial cell homeostasis and tight junction protein expression in vitro.

Background: Glioblastoma (GBM) is an aggressive therapy-resistant brain tumour that may impacts the integrity of the blood-brain barrier (BBB). The BBB is a protective barrier of the central nervous system formed mainly by endothelial cells. This study aimed to investigate the in vitro effect of GBM cells on the BBB.

Evolution of Drug Development and Regulatory Affairs: The Demonstrated Power of Artificial Intelligence.

Purpose: Artificial intelligence (AI) refers to technology capable of mimicking human cognitive functions and has important applications across all sectors and industries, including drug development. This has considerable implications for the regulation of drug development processes, as it is expected to transform both the way drugs are brought to market and the systems through which this process is controlled. There is currently insufficient evidence in published literature of the real-world applications of AI.

Biomarkers of HIV-associated Cancer.

Cancer biomarkers have provided great opportunities for improving the management of cancer patients by enhancing the efficiency of early detection, diagnosis, and efficacy of treatment. Every cell type has a unique molecular signature, referred to as biomarkers, which are identifiable characteristics such as levels or activities of a myriad of genes, proteins, or other molecular features. Biomarkers can facilitate the molecular definition of cancer, provide information about the course of cancer, and predict response to chemotherapy.

Drug-drug interactions in HIV positive cancer patients.

Clinically relevant drug-drug interactions (DDIs) refer to the pharmacological or clinical response to the administration or co-exposure of a drug with another drug that modifies the patient's response. Treatment regimens, which include agents that are involved in the cytochrome P450 (CYP450) enzyme system and transporter systems, such as P-glycoprotein may be associated with higher risk of clinically significant drug interactions. In addition, potential DDIs increase with the increasing number of concomitant drugs.