ABSTRACT
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. Therefore, this narrative review investigated, collated, and elucidated the applications of AI in drug development and its regulatory processes. METHODS: A narrative review was conducted to ascertain the role of AI in streamlining drug development and regulatory processes. FINDINGS: The findings of this review revealed that machine learning or deep learning, natural language processing, and robotic process automation were favored applications of AI. Each of them had considerable implications on the operations they were intended to support. Overall, the AI tools facilitated access and provided manageability of information for decision-making across the drug development lifecycle. However, the findings also indicate that additional work is required by regulatory authorities to set out appropriate guidance on applications of the technology, which has critical implications for safety, regulatory process workflow and product development costs. IMPLICATIONS: AI has adequately proven its utility in drug development, prompting further investigations into the translational value of its utility based on cost and time saved for the delivery of essential drugs.
ABSTRACT
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. They offer the hope of early detection as well as tracking disease progression and recurrence. Current progress in the characterization of molecular genetics of HIV-associated cancers may form the basis for improved patient stratification and future targeted or individualized therapies. Biomarker use for cancer staging and personalization of therapy at the time of diagnosis could improve patient care. This review focuses on the relevance of biomarkers in the most common HIV-associated malignancies, namely, Kaposi sarcoma, non-Hodgkin's lymphoma, and invasive cervical cancer.
ABSTRACT
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. HIV positive cancer patients who receive concomitant chemotherapy and combination antiretroviral therapy (cART) may achieve better response rates and higher rates of survival than those who receive chemotherapy alone, but they may be at increased risk of drug interactions. DDIs in HIV positive cancer patients receiving concomitant chemotherapy and cART may increase or decrease antineoplastic drug concentrations, potentially resulting in life threatening interactions, increased toxicity or loss of efficacy. Avoiding and managing potential interactions between cART and antineoplastic agents is an increasingly important challenge. Based on the current literature, more safety and pharmacokinetic studies are needed with the aim to document a clear survival benefit for patients undergoing chemotherapy and concomitant or sequential administration of cART.
