The rapidly advancing field of artificial intelligence (AI) has garnered substantial attention for its potential application in drug discovery and development. This opinion review critically examined the feasibility and prospects of integrating AI as a transformative tool in the pharmaceutical industry. AI, encompassing machine learning algorithms, deep learning, and data analytics, offers unprecedented opportunities to streamline and enhance various stages of drug development. This opinion review delved into the current landscape of AI-driven approaches, discussing their utilization in target identification, lead optimization, and predictive modeling of pharmacokinetics and toxicity. We aimed to scrutinize the integration of large-scale omics data, electronic health records, and chemical informatics, highlighting the power of AI in uncovering novel therapeutic targets and accelerating drug repurposing strategies. Despite the considerable potential of AI, the review also addressed inherent challenges, including data privacy concerns, interpretability of AI models, and the need for robust validation in real-world clinical settings. Additionally, we explored ethical considerations surrounding AI-driven decision-making in drug development. This opinion review provided a nuanced perspective on the transformative role of AI in drug discovery by discussing the existing literature and emerging trends, presenting critical insights and addressing potential hurdles. In conclusion, this study aimed to stimulate discourse within the scientific community and guide future endeavors to harness the full potential of AI in drug development.

The process of development, recurrence, and exacerbation of the inflammatory process depends on the cytokine levels in IBD. For that reason, many cytokine therapies have been developed for treating IBD patients. Researchers employ various techniques and methodologies for cytokine profiling to identify cytokine signatures in inflamed mucosa. These include enzyme-linked immunosorbent assays (ELISA), multiplex immunoassays, flow cytometry, and gene expression analysis techniques (i.e., microarray, RNA-seq, single-cell RNA-seq (scRNA-seq), mass cytometry (CyTOF), Luminex). Research knowledge so far can give us some insights into the cytokine milieu associated with mucosal inflammation by quantifying cytokine levels in mucosal tissues or biological fluids such as serum or stool. The review is aimed at presenting state-of-the-art techniques for cytokine profiling and the various biomarkers for follow-up and treatment.

Systemic lupus erythematosus (SLE) is a chronic, autoimmune, immune complex-mediated disease affecting mainly females at a young age. The disease etiology is still unknown, and different genetic and epigenetic factors related to disease onset and manifestations are being explored. The standard treatment regimen for SLE includes the long-term use of corticosteroids and non-specific immunosuppressive agents, often limited by co-morbidities or related side effects. However, recent advances in disease pathogenesis clarifying the role of inflammatory cytokines, chemokines, immune cells, and co-stimulation molecules have made a more practical, targeted approach possible, leading to personalized treatment strategies. This review summarizes current knowledge about SLE-targeted therapies in clinical practice.

Background: Immunological strategies for antibody-guided vaccine design intend to enhance viral neutralization and protection and increase efficacy. Here, we discuss advances in antibody-guided vaccine design and current antibody-guided strategies, including epitope-based, nanoparticle-based, and scaffold-based vaccine approaches. We review the challenges and limitations of vaccines against different pathogens, such as influenza A virus, HIV-1 virus, single-celled malaria parasite, respiratory syncytial virus, and SARS-CoV-2. We summarize the available literature guidance, including emerging techniques in immunological vaccine design, to help understand and improve antibody-based immunity. The search strategy we applied is a comprehensive literature review of major databases, with specific search terms related to antibody-mediated vaccine design, viral neutralization, and immune protection. We discuss the how future directions for next-generation vaccine platforms and personalized vaccines based on immunogenetics will help improve vaccine design for increased specificity and potency of antibodies that neutralize pathogens, offering more precise and effective immune responses and, therefore, protection.