Personalized medicine entails tailoring medical care to an individual's unique genomic and molecular characteristics. AI holds significant promise in advancing the field of personalized medicine. The challenge lies in effectively analyzing vast amounts of data to create tailored treatment approaches. The incorporation of AI into personalized treatment will require healthcare infrastructure adjustments. Upon patients' arrival, their personal data and clinical information (including images, electrophysiology findings, genetic data, blood pressure, medical notes, etc.) are gathered into the AI system with their consent. Subsequently, the AI system utilizes this patient-specific data to offer healthcare recommendations, aiding healthcare professionals in their clinical decision-making. Results and insights from these recommendations, whether accurate or not, are logged and fed back into the AI system to enhance its precision.

Typhoid fever, caused by the bacterium Salmonella typhi, is an often-fatal illness prevalent in Africa and South Asia. The illness has seen an alarming rise in multi-drug-resistant (MDR) and extensive drug-resistant (XDR) strains, particularly in Pakistan. The MDR strain links to the H58 haplotype, and its XDR variant exhibits fluoroquinolone resistance due to an IncY plasmid. The increasing prevalence of these resistant strains is concerning, given the global antimicrobial resistance (AMR) issue. Causes include misuse of antibiotics in self-limiting infections and an unregulated drug market. Pakistan's Sindh province first reported the XDR typhoid strain, highlighting the urgent need to investigate the relationship between AMR development and external factors. This narrative review intends to scrutinize the state of AMR in Pakistan, considering illicit drug sales, healthcare worker education gaps, and self-medication behaviors.

The COVID-19 pandemic has resulted in a global humanitarian crisis. Despite ongoing research, transmission risks and many disease characteristics remain unclear. Most patients have displayed elevated levels of certain inflammatory markers, which we sought to investigate further in relation to disease severity. The aim of this study was to examine the correlation between inflammatory markers and the severity of COVID-19 among patients. We conducted a cross-sectional study from April to September 2020, involving 143 COVID-19 PCR-positive patients from Ziauddin Hospital. Electronic patient records provided data on demographics, clinical status, and laboratory results. The majority of PCR-positive patients were elderly males with comorbidities such as diabetes and hypertension. Almost all patients exhibited increased levels of various inflammatory markers, with procalcitonin (97.2%) being the most common. Statistically significant differences were observed in the levels of TLC (p=0.005), CRP (p=0.001), LDH (p=0.001), Ferritin (p=0.001), D-dimer (p=0.001), and procalcitonin (p=0.028), in relation to COVID-19 severity. The data suggest a significant association between levels of inflammatory markers and COVID-19 severity. All markers, except procalcitonin, demonstrated a significant correlation with disease severity. These results could enhance our understanding of COVID-19 pathogenesis and help predict and manage severe cases.

Science is digging for the varied presentation of COVID-19 patients exposed to the same risk factors, and medical conditions may be influenced by the presence of polymorphic genetic variants. This study investigated the link between ACE2 gene polymorphisms and the severity of SARS-CoV-2. This cross-sectional study recruited COVID-19 PCR-positive patients by consecutive sampling from Ziauddin Hospital from April to September 2020. DNA was extracted from whole blood, followed by gene amplification and Sanger’s sequencing. Most of the patients, 77: 53.8%, were serious. Males were higher (80; 55.9%) with age more than 50 years (106: 74.1%). We found 22 ACE2 SNPs. rs2285666 SNP was most prevalent with 49.2% CC, 45.2% TT, 4.8% CT heterozygosity, and 0.8% AA genotypes. Variants with multiple genotypes were also insignificantly associated with the severity of COVID-19 in the analysis of the dominant model. Only rs2285666 had a significant statistical link with gender (p-value 0.034, OR; 1.438, CI; 1.028–2.011) while rs768883316 with age groups (p-value 0.026, OR; 1.953, CI; 1.085–3.514). Haplotypes ATC of three polymorphisms (rs560997634, rs201159862, and rs751170930) commonly found in 120 (69.77%) and TTTGTAGTTAGTA haplotype consisting of 13 polymorphisms (rs756737634, rs146991645, rs1601703288, rs1927830489, rs1927831624, rs764947941, rs752242172, rs73195521, rs781378335, rs756597390, rs780478736, rs148006212, rs768583671) in 112 (90.32%) had statistically significant association with the severity having p = value 0.029 and 0.001 respectively. Males of old age and diabetics are found to have more severe COVID-19 infection in the current study. We also found that common ACE2 polymorphism rs2285666 influences the susceptibility of acquiring the severe SARS-CoV-2 infection.

Despite an increasing incidence of Staphylococcus aureus infection and dissemination in Pakistan, the epidemiology of different Staphylococcus aureus research clones has been the subject of only a small number of investigations. By analyzing the collected data sequence, this study was designed to study the epidemiology of Staphylococcus aureus in the area using multilocus sequence typing (MLST). A total of 1015 staphylococcus strains collected from the city's tertiary care facilities were biochemically screened, followed by antimicrobial susceptibility testing against a panel of 13 antibiotics. Analyzed methicillin-resistant Staphylococcus aureus (MRSA) was subjected to molecular characterization using multilocus sequence typing (MLST), clonal complex analysis, recombination testing, and phylogenetic analysis. Approximately 421 bacteria were verified as Staphylococcus aureus by biochemical analysis. 57% of the isolates exhibited multidrug resistance, of which 89% were found to be methicillin-resistant Staphylococcus aureus (MRSA). MLST results in a total of 39 sequence types (ST) and 5 clonal complexes (CC), out of which twenty-two STs were newly documented worldwide. The most common CC identified was CC8. The direct sequencing data also revealed significant shifts at MLST loci, with point mutations resulting in the aroE-343 and tpi-278 alleles. This study concludes that there is high diversity in the locally circulating clones of Staphylococcus aureus present in nature and that they are defined by their geographic epidemiology. These findings have practical implications for public health, including the need for tailored infection control strategies, antibiotic stewardship, global surveillance, and a deeper understanding of bacterial evolution.

Jejunal diverticula are often asymptomatic and rare, so they can go unnoticed until serious complications like obstruction, bleeding, perforation, volvulus, or diverticulitis occur. Elderly people over 60 are more likely to have this condition.