The gut microbiota significantly impacts human health, influencing metabolism, immunological responses, and disease prevention. Dysbiosis, or microbial imbalance, is linked to various diseases, including cancer. It is crucial to preserve a healthy microbiome since pathogenic bacteria, such as Escherichia coli and Fusobacterium nucleatum, can cause inflammation and cancer. These pathways can lead to the formation of tumors. Recent advancements in high-throughput sequencing, metagenomics, and machine learning have revolutionized our understanding of the role of gut microbiota in cancer risk prediction. Early detection is made easier by machine learning algorithms that improve the categorization of cancer kinds based on microbiological data. Additionally, the investigation of the microbiome has been transformed by next-generation sequencing (NGS), which has made it possible to fully profile both cultivable and non-cultivable bacteria and to understand their roles in connection with cancer. Among the uses of NGS are the detection of microbial fingerprints connected to treatment results and the investigation of metabolic pathways implicated in the development of cancer. The combination of NGS with machine learning opens up new possibilities for creating customized medicine by enabling the development of diagnostic tools and treatments that are specific to each patient’s microbiome profile, even in the face of obstacles like data complexity. Multi-omics studies reveal microbial interactions, biomarkers for cancer detection, and gut microbiota’s impact on cancer progression, underscoring the need for further research on microbiome-based cancer prevention and therapy.

This review provides an overview of recent research and advancements in infection prevention and the treatment of drug-resistant bacterial diseases. Cefiderocol, a novel siderophore cephalosporin, has demonstrated effectiveness against carbapenem-resistant bacteria such as Pseudomonas aeruginosa and Acinetobacter baumannii. Clinical trials, including APEKS-NP and CREDIBLE-CR, affirm its efficacy for hospital-acquired pneumonia (HAP) but highlight concerns over increased mortality due to severe renal complications. Cefiderocol has shown superior outcomes in complicated urinary tract infections (cUTI) compared to imipenem–cilastatin. A comparison of colistin monotherapy versus combination therapy with meropenem for carbapenem-resistant infections revealed no significant improvement in clinical outcomes with combination therapy but noted delays in resistance development. Colistin–rifampicin combination therapy showed potential benefits for colistin-resistant Acinetobacter baumannii, although results were not statistically significant. SPR206, a polymyxin derivative, and durlobactam, a β-lactamase inhibitor, show promise in addressing these resistant strains, with durlobactam demonstrating efficacy in combination with sulbactam and imipenem–cilastatin. Additional studies investigated antibiotic strategies for resistant infections, including cefoperazone–sulbactam versus combination therapy with tigecycline, and examined infection-prevention strategies in surgical settings, comparing chlorhexidine–alcohol and povidone–iodine. This research highlights the importance of optimizing treatment regimens and infection-control measures across various healthcare settings, including neonatology and surgical care.