The integration of artificial intelligence and personalized medicine is transforming HIV management by enhancing diagnostics, treatment optimization, and disease monitoring. Advances in machine learning, deep neural networks, and multi-omics data analysis enable precise prognostication, tailored antiretroviral therapy, and early detection of drug resistance. AI-driven models analyze vast genomic, proteomic, and clinical datasets to refine treatment strategies, predict disease progression, and pre-empt therapy failures. Additionally, AI-powered diagnostic tools, including deep learning imaging and natural language processing, improve screening accuracy, particularly in resource-limited settings. Despite these innovations, challenges such as data privacy, algorithmic bias, and the need for clinical validation remain. Successful integration of AI into HIV care requires robust regulatory frameworks, interdisciplinary collaboration, and equitable technology access. This review explores both the potential and limitations of AI in HIV management, emphasizing the need for ethical implementation and expanded research to maximize its impact. AI-driven approaches hold great promise for a more personalized, efficient, and effective future in HIV treatment and care.

This study is aimed at evaluating the association between Coronavirus disease 19 (COVID‐19) and the primary complete blood count (CBC) parameters in confirmed positive patients. In a retrospective cross‐sectional study, 384 files of patients with confirmed COVID‐19 diagnosis hospitalized at King Saud Medical City, Riyadh, were chosen randomly as a study group for hematological parameters, with another 384 non‐COVID‐19 files of patients without history of any disease which could influence the hematological profile were selected as a control group. The gender, age, and nationality of the control group were matched with those of the study group. Anemia and thrombocytopenia prevalence was significantly higher in COVID‐19 positive patients compared with negative. However, the positive cases were 3.4 times more likely to be anemic and approximately 5.3 times as likely to be thrombocytopenic, while the prevalence of leukopenia showed no statistical significance between the two groups. However, the Mean Cell Volume (MCV), Total White Blood Cell (WBC) count, lymphocyte count, and basophil count median values showed a nonsignificant difference between the two groups. Anemia and thrombocytopenia may be highly developed in severe positive cases, and therefore, further studies are recommended to validate these findings.

Myocardial infarction (MI) remains a leading cause of morbidity and mortality worldwide. While timely reperfusion therapies such as percutaneous coronary intervention (PCI) and thrombolysis are essential for salvaging ischemic myocardium, they can paradoxically exacerbate tissue injury through a process known as myocardial infarction reperfusion injury (MIRI). MIRI can contribute to up to 50% of the final infarct size, significantly diminishing the benefits of revascularization and leading to worsened cardiac outcomes. The pathophysiology of MIRI involves complex, interrelated mechanisms including oxidative stress, calcium overload, mitochondrial dysfunction, inflammatory responses, apoptosis, and dysregulated autophagy. Post-reperfusion recovery is further complicated by structural and functional abnormalities such as microvascular obstruction, endothelial dysfunction, and myocardial stunning. Clinically, distinguishing reperfusion injury from ischemic damage is challenging and often requires the use of sensitive biomarkers, such as cardiac troponins, alongside advanced imaging modalities. Although a range of pharmacological (e.g., antioxidants, calcium channel blockers, mitochondrial stabilizers, anti-inflammatory agents) and non-pharmacological (e.g., hypothermia, gene therapy, stem cell-based therapies) interventions have shown promise in preclinical studies, their clinical translation remains limited. This is largely due to the multifactorial and dynamic nature of MIRI. In this context, network pharmacology offers a systems-level approach to understanding the complex biological interactions involved in MIRI, facilitating the identification of multi-target therapeutic strategies. Integrating network pharmacology with omics technologies and precision medicine holds potential for advancing cardioprotective therapies. This review provides a comprehensive analysis of the molecular mechanisms underlying MIRI, examines the current clinical challenges, and explores emerging therapeutic strategies. Emphasis is placed on bridging the translational gap through validated, multi-target approaches and large-scale, multicenter clinical trials. Ultimately, this work aims to support the development of innovative and effective interventions for improving outcomes in patients with myocardial infarction.

Human Immunodeficiency Virus (HIV) remains a major public health challenge globally. Recent innovations in diagnostic technology have opened new pathways for early detection, ongoing monitoring, and more individualized patient care, yet significant barriers persist in translating these advancements into clinical settings. This review highlights the cutting-edge diagnostic methods emerging from basic science research, including molecular assays, biosensors, and next-generation sequencing, and discusses the practical and logistical challenges involved in their implementation. By analyzing current trends in diagnostic techniques and management strategies, we identify critical gaps and propose integrative approaches to bridge the divide between laboratory innovation and effective clinical application. This work emphasizes the need for comprehensive education, supportive infrastructure, and multi-disciplinary collaborations to enhance the utility of these diagnostic innovations in improving outcomes in patients with HIV.

Liver cirrhosis continues to be a major global health issue, contributing to high morbidity and mortality due to its progressive nature and associated complications. This review explores recent advancements in the diagnosis and treatment of liver cirrhosis and its related syndromes. Non-invasive diagnostic tools, such as elastography and serum biomarkers, have significantly improved early detection, reducing the need for liver biopsies. Advanced imaging techniques, including MRI and CT, further enhance diagnostic accuracy. In parallel, molecular and genomic research is providing new insights into the pathogenesis of the disease, paving the way for precision medicine. On the treatment front, pharmacological innovations, such as antifibrotic agents and targeted therapies, show promise in slowing disease progression. Endoscopic interventions like variceal banding are improving the management of complications, while advancements in liver transplantation and artificial liver support systems offer life-saving alternatives. Regenerative medicine, particularly stem cell therapy and tissue engineering, is emerging as a promising strategy for liver repair. Managing cirrhosis-related syndromes, including portal hypertension, ascites, hepatic encephalopathy, and hepatorenal syndrome, now involves evolving therapeutic approaches such as transjugular intrahepatic portosystemic shunt (TIPS) and novel pharmacotherapies. Prognostic scoring systems like the MELD and Child–Pugh are being refined with new biomarkers for better risk stratification. The future of cirrhosis care will likely involve the integration of artificial intelligence and machine learning for early diagnosis and personalized treatments, alongside emerging therapies currently under investigation. Despite these advancements, challenges such as costs, accessibility, and healthcare disparities remain barriers to widespread adoption. This review highlights the importance of incorporating innovative diagnostic and therapeutic strategies into clinical practice to improve the outcomes for patients with liver cirrhosis and its complications.

The use of Toombak has been reported to play a major role in the etiology of oral cancer in Sudan. The cellular proliferative activity on the oral epithelium of 210 Toombak dippers was assessed by applying the micronuclei frequency, mean argyrophilic nucleolar organizer region (AgNOR) counts, Papanicolaou method, and 1% crystal violet stain. Participants were divided into 3 groups: 200 were apparently healthy individuals, 100 were Toombak users (cases), 100 were non-tobacco users (control) and 10 were patients with oral squamous cell carcinomas. Cytological atypia was identified among 4 (4%). Toombak users and was not found among the control group (P<0.04). The micronuclei frequencies were higher in Toombak users (1.026) than in the control group (0.356) (P<0.0001). The mean AgNOR counts in Toombak users (2.423) were higher than control group (1.303) (P<0.0001). Neither Toombak users nor control group showed mitotic figures in 1% crystal violet method. The results of this research showed that Toombak dipping is a high risk factor for increase in the cellular proliferation in the oral mucosa. The cytological proliferative marker methods used are useful for screening Toombak users.