Background and Aims: Artificial intelligence (AI) has emerged as a transformative force in laboratory medicine, promising significant advancements in healthcare delivery. This study explores the potential impact of AI on diagnostics and patient management within the context of laboratory medicine, with a particular focus on low‐ and middle‐income countries (LMICs).Methods: In writing this article, we conducted a thorough search of databases such as PubMed, ResearchGate, Web of Science, Scopus, and Google Scholar within 20 years. The study examines AI's capabilities, including learning, reasoning, and decision‐making, mirroring human cognitive processes. It highlights AI's adeptness at processing vast data sets, identifying patterns, and expediting the extraction of actionable insights, particularly in medical imaging interpretation and laboratory test data analysis. The research emphasizes the potential benefits of AI in early disease detection, therapeutic interventions, and personalized treatment strategies.Results: In the realm of laboratory medicine, AI demonstrates remarkable precision in interpreting medical images such as radiography, computed tomography, and magnetic resonance imaging. Its predictive analytical capabilities extend to forecasting patient trajectories and informing personalized treatment strategies using comprehensive data sets comprising clinical outcomes, patient records, and laboratory results. The study underscores the significance of AI in addressing healthcare challenges, especially in resource‐constrained LMICs.Conclusion: While acknowledging the profound impact of AI on laboratory medicine in LMICs, the study recognizes challenges such as inadequate data availability, digital infrastructure deficiencies, and ethical considerations. Successful implementation necessitates substantial investments in digital infrastructure, the establishment of data‐sharing networks, and the formulation of regulatory frameworks. The study concludes that collaborative efforts among stakeholders, including international organizations, governments, and nongovernmental entities, are crucial for overcoming obstacles and responsibly integrating AI into laboratory medicine in LMICs. A comprehensive, coordinated approach is essential for realizing AI's transformative potential and advancing health care in LMICs.

Background and Aim: Human immunodeficiency virus (HIV) remains a significant global health challenge, with approximately 39 million people living with HIV worldwide as of 2022. Despite progress in antiretroviral therapy, achieving the UNAIDS “95‐95‐95” target to end the HIV epidemic by 2025 faces challenges, particularly in sub‐Saharan Africa. The pursuit of an HIV vaccine is crucial, offering durable immunity and the potential to end the epidemic. Challenges in vaccine development include the lack of known immune correlates, suitable animal models, and HIV's high mutation rate. This study aims to explore the current state of HIV vaccine development, focusing on the challenges and innovative approaches being investigated.Methods: In writing this review, we conducted a search of medical databases such as PubMed, ResearchGate, Web of Science, Google Scholar, and Scopus. The exploration of messenger ribonucleic acid vaccines, which have proven successful in the SARS‐CoV‐2 pandemic, presents a promising avenue for HIV vaccine development. Understanding HIV‐1's ability to infiltrate various bodily compartments, establish reservoirs, and manipulate immune responses is critical. Robust cytotoxic T lymphocytes and broadly neutralizing antibodies are identified as key components, though their production faces challenges. Innovative approaches, including computational learning and advanced drug delivery systems, are being investigated to effectively activate the immune system.Results and Conclusions: Discrepancies between animal models and human responses have hindered the progress of vaccine development. Despite these challenges, ongoing research is focused on overcoming these obstacles through advanced methodologies and technologies. Addressing the challenges in HIV vaccine development is paramount to realizing an effective HIV‐1 vaccine and achieving the goal of ending the epidemic. The integration of innovative approaches and a deeper understanding of HIV‐1's mechanisms are essential steps toward this transformative breakthrough.

Cholera is an enteric disease caused by the ingestion of food or water contaminated by the toxins of the bacteria - Vibrio Cholerae. Its transmission is exacerbated by poor sanitary conditions and poor hygiene practices. Affected individuals may present with severe symptoms such as watery diarrhoea and vomiting that can lead to death within few hours. Cameroon is experiencing its worst cholera outbreak in decades. The outbreak is severest in the South-West and the Littoral regions. As of the time of writing, in six regions of the country, 6652 suspected cases of cholera including 134 deaths (CFR 2%) have been reported and the number is rising. Shortage of safe drinking water and contamination of rivers has exacerbated the outbreak, especially in the rural and hard to reach communities. The trans-border movement at the South-West region, defecation in the open and on rivers, and overcrowding at the Littoral region have been particularly challenging towards curbing the outbreak. Despite the challenges, Cameroon's health authorities have been working to bring the situation under control by engaging in community sensitization on good hygiene habits, disinfection of houses and vaccination campaigns. In the light of these, it is recommended that Cameroon should improve and strengthen its vaccination campaign across the country. Adequate health systems should be established at the point of entry to prevent cross-border cholera transmission and retransmission. Access to hard to reach communities should be improved so that vaccines and basic health care and sanitation services such as provision of safe drinking water can be provided.