Mycobacterium tuberculosis and other non-tuberculous mycobacteria are responsible for a variety of different infections affecting millions of patients worldwide. Their diagnosis is often problematic and delayed until late in the course of disease, requiring a high index of suspicion and the combined efforts of clinical and laboratory colleagues. Molecular methods, such as PCR platforms, are available, but expensive, and with limited sensitivity in the case of paucibacillary disease. Treatment of mycobacterial infections is also challenging, typically requiring months of multiple and combined antibiotics, with associated side effects and toxicities. The presence of innate and acquired drug resistance further complicates the picture, with dramatic cases without effective treatment options. Bacteriophages (viruses that infect bacteria) have been used for decades in Eastern Europe for the treatment of common bacterial infections, but there is limited clinical experience of their use in mycobacterial infections. More recently, bacteriophages’ clinical utility has been re-visited and their use has been successfully demonstrated both as diagnostic and treatment options. This review will focus specifically on how mycobacteriophages have been used recently in the diagnosis and treatment of different mycobacterial infections, as potential emerging technologies, and as an alternative treatment option.

Mycobacterium abscessus complex is responsible for 2.6-13.0% of all non-tuberculous mycobacterial pulmonary infections and these are notoriously difficult to treat due to the complex regimens required, drug resistance and adverse effects. Hence, bacteriophages have been considered in clinical practice as an additional treatment option. Here, we evaluated antibiotic and phage susceptibility profiles of M. abscessus clinical isolates. Whole-genome sequencing (WGS) revealed the phylogenetic relationships, dominant circulating clones (DCCs), the likelihood of patient-to-patient transmission and the presence of prophages. Antibiotic susceptibility testing was performed using CLSI breakpoints (n = 95), and plaque assays were used for phage susceptibility testing (subset of n = 88, 35 rough and 53 smooth morphology). WGS was completed using the Illumina platform and analysed using Snippy/snp-dists and Discovery and Extraction of Phages Tool (DEPhT). Amikacin and Tigecycline were the most active drugs (with 2 strains resistant to amikacin, and one strain with Tigecycline MIC of 4 μg/mL). Most strains were resistant to all other drugs tested, with Linezolid and Imipenem showing the least resistance, at 38% (36/95) and 55% (52/95), respectively. Rough colony morphotype strains were more phage-susceptible than smooth strains (77%-27/35 versus 48%-25/53 in the plaque assays, but smooth strains are not killed efficiently by those phages in liquid infection assay). We have also identified 100 resident prophages, some of which were propagated lytically. DCC1 (20%-18/90) and DCC4 (22%-20/90) were observed to be the major clones and WGS identified 6 events of possible patient-to-patient transmission. Many strains of M. abscessus complex are intrinsically resistant to available antibiotics and bacteriophages represent an alternative therapeutic option, but only for strains with rough morphology. Further studies are needed to elucidate the role of hospital-borne M. abscessus transmission.

Purpose of review: The current article summarizes the recent advances in the use of bacteriophages to treat pulmonary infections, particularly those caused by Gram-negative drug-resistant bacteria, including Pseudomonas aeruginosa, Acinetobacter baumannii, Klebsiella pneumoniae and Burkholderia species. It provides an updated overview of the current available evidence, with a summary of published clinical cases, case series and clinical trials currently underway. Recent finding Personalized treatment with bacteriophages is still in its infancy in Europe and the USA, despite extensive experience in Eastern countries. However, more patients are expected to be treated with clinical trials in progress and others planned. Summary: Despite very promising initial results and the confirmation of phage safety, there are still many ethical and practical implications to be considered, from the necessary regulatory approval to optimization of dose and route of administration, to developing strategies to tackle bacterial resistance. Patients with cystic fibrosis are a group where phage therapy, if successful, could have a major impact.

WGS has significant potential to help tackle the major public health problem of TB. The Republic of Korea has the third highest rates of TB of all Organisation for Economic Cooperation and Development countries but there has been very limited use of WGS in TB to date. A retrospective comparison of Mycobacterium tuberculosis (MTB) clinical isolates from 2015 to 2017 from two centres in the Republic of Korea using WGS to compare phenotypic drug susceptibility testing (pDST) and WGS drug susceptibility predictions (WGS-DSP). Fifty-seven MTB isolates had DNA extracted and were sequenced using the Illumina HiSeq platform. The WGS analysis was performed using bwa mem, bcftools and IQ-Tree; resistance markers were identified using TB profiler. Phenotypic susceptibilities were carried out at the Supranational TB reference laboratory (Korean Institute of Tuberculosis). For first-line antituberculous drugs concordance for rifampicin, isoniazid, pyrazinamide and ethambutol was 98.25%, 92.98%, 87.72% and 85.96%, respectively. The sensitivity of WGS-DSP compared with pDST for rifampicin, isoniazid, pyrazinamide and ethambutol was 97.30%, 92.11%, 78.95% and 95.65%, respectively. The specificity for these first-line antituberculous drugs was 100%, 94.74%, 92.11% and 79.41%, respectively. The sensitivity and specificity for second-line drugs ranged from 66.67% to 100%, and from 82.98% to 100%, respectively. This study confirms the potential role for WGS in drug susceptibility prediction, which would reduce turnaround times. However, further larger studies are needed to ensure current databases of drug resistance mutations are reflective of the TB present in the Republic of Korea.

Artificial intelligence (AI) and digital health technologies may strengthen infection prevention and control (IPC) through enhanced surveillance, decision-making, and workforce training. However, global evidence on their uptake and perceived usefulness among IPC professionals remains limited. This cross-sectional online survey co-ordinated by the World Health Organization (WHO) between 21^st March and 17^th April 2025 assessed awareness, adoption, perceived usefulness, barriers, and facilitators related to AI-enabled and digital technologies in IPC. Descriptive analyses used item-specific denominators. Technology use analyses were restricted to current users, while perception-based analyses included all respondents answering each item. Likert-scale usefulness items were analysed as ordinal variables using medians and interquartile ranges (IQRs). Of 444 responses received across the six WHO regions, 441 were valid for analysis. Most respondents reported some familiarity with AI and digital technologies, although only 24.5% reported current use and 6.8% reported formal training. Among current users, the most frequently reported technologies were AI-based analysis for IPC research, semi-automatic surveillance systems, AI-supported teaching tools, and AI-based antimicrobial resistance detection tools. Perceived usefulness was generally favourable, with a median score of 4 (IQR: 2) for eight of nine assessed applications; environmental disinfection scored lower (median: 3, IQR: 3). The main reported barriers were lack of training and skills (74.4%), limited funding (71.4%), and integration challenges with existing systems (43.3%). This global IPC survey identified a substantial gap between awareness and routine implementation of AI-enabled and digital technologies. Adoption remains limited despite favourable perceptions, highlighting workforce capacity, funding, and system integration as the principal implementation constraints.

Purpose of review: The recent COVID-19 pandemic sparked discussions and highlighted significant gaps on the most appropriate infection prevention and control (IPC) measures when dealing with acute respiratory infections (ARIs). This narrative review aims to provide an overview of the existing international and national guidelines on the IPC measures to control epidemic and pandemic-prone ARIs in healthcare settings. Recent findings: The WHO has recently produced a report proposing an updated terminology for respiratory pathogens. One of the key outcomes of this consultation was the adoption of the term ‘infectious respiratory particles’ (IRPs). According to the report, IRPs are defined as infectious particles that can be expired from an infected person through activities like breathing, talking, singing, coughing, sneezing, or even spitting. Most notably, there is no longer the clear and traditional distinction between droplet and aerosol based on the cut-off of particle size, but rather a continuum of particle sizes of IRPs. Summary: Among other recommendations, all international guidelines place emphasis on the use of standard and transmission-based precautions when dealing with respiratory viruses. It is important to assess how the new proposed terminology for respiratory pathogens may affect the current existing IPC measures.