Diagnosis Of Infection Research Articles

Artificial intelligence applications in the diagnosis and treatment of bacterial infections

The diagnosis and treatment of bacterial infections in the medical and public health field in the 21st century remain significantly challenging. Artificial Intelligence (AI) has emerged as a powerful new tool in diagnosing and treating bacterial infections. AI is rapidly revolutionizing epidemiological studies of infectious diseases, providing effective early warning, prevention, and control of outbreaks. Machine learning models provide a highly flexible way to simulate and predict the complex mechanisms of pathogen-host interactions, which is crucial for a comprehensive understanding of the nature of diseases. Machine learning-based pathogen identification technology and antimicrobial drug susceptibility testing break through the limitations of traditional methods, significantly shorten the time from sample collection to the determination of result, and greatly improve the speed and accuracy of laboratory testing. In addition, AI technology application in treating bacterial infections, particularly in the research and development of drugs and vaccines, and the application of innovative therapies such as bacteriophage, provides new strategies for improving therapy and curbing bacterial resistance. Although AI has a broad application prospect in diagnosing and treating bacterial infections, significant challenges remain in data quality and quantity, model interpretability, clinical integration, and patient privacy protection. To overcome these challenges and, realize widespread application in clinical practice, interdisciplinary cooperation, technology innovation, and policy support are essential components of the joint efforts required. In summary, with continuous advancements and in-depth application of AI technology, AI will enable doctors to more effectivelyaddress the challenge of bacterial infection, promoting the development of medical practice toward precision, efficiency, and personalization; optimizing the best nursing and treatment plans for patients; and providing strong support for public health safety.

Exploring extracellular vesicles in zoonotic helminth biology: implications for diagnosis, therapeutic and delivery

Extracellular vesicles (EVs) have emerged as key intercellular communication and pathogenesis mediators. Parasitic organisms’ helminths, cause widespread infections with significant health impacts worldwide. Recent research has shed light on the role of EVs in the lifecycle, immune evasion, and disease progression of these parasitic organisms. These tiny membrane-bound organelles including microvesicles and exosomes, facilitate the transfer of proteins, lipids, mRNAs, and microRNAs between cells. EVs have been isolated from various bodily fluids, offering a potential diagnostic and therapeutic avenue for combating infectious agents. According to recent research, EVs from helminths hold great promise in the diagnosis of parasitic infections due to their specificity, early detection capabilities, accessibility, and the potential for staging and monitoring infections, promote intercellular communication, and are a viable therapeutic tool for the treatment of infectious agents. Exploring host-parasite interactions has identified promising new targets for diagnostic, therapy, and vaccine development against helminths. This literature review delves into EVS’s origin, nature, biogenesis, and composition in these parasitic organisms. It also highlights the proteins and miRNAs involved in EV release, providing a comprehensive summary of the latest findings on the significance of EVs in the biology of helminths, promising targets for therapeutic and diagnostic biomarkers.

COVID-19 Modeling: A Review

The SARS-CoV-2 viruses and their triggered COVID-19 pandemic have fundamentally reshaped the world in almost every aspect, their evolution and influences remain. While over a million of literature have been produced on these unprecedented, overwhelming global disaster, one critical question is open: How has COVID-19 been quantified globally? This further inspires many other questions: What COVID-19 problems have been modeled? How have modeling methods in areas such as epidemiology, artificial intelligence (AI), data science, machine learning, deep learning, mathematics and social science played their roles in characterizing COVID-19? Where are the gaps and issues of these COVID-19 modeling studies? What are the lessons for quantifying future disasters? Answering these questions involves the analysis of a very broad spectrum of literature across different disciplines and domains. Distinguishing from specific efforts, this review takes the first attempt to generate a systematic, structured and contrastive landscape and taxonomy of global COVID-19 modeling. First, the surveyed problems span over a full range of COVID-19, including epidemic transmission processes, case identification and tracing, infection diagnosis and medical treatments, non-pharmaceutical interventions and their influence, drug and vaccine development, psychological, economic and social influence and impact, and misinformation, etc. Second, the reviewed modeling methods traverse all relevant disciplines, from statistic modeling to epidemic modeling, medical analysis, biomedical analysis, AI, deep and machine learning, analytics, and simulation. Critical analyses further identify significant issues and gaps, for example, simple techniques and similar problems have been overwhelmingly addressed everywhere, while intrinsic and foundational issues and deep insights have been overlooked. The review discloses significant opportunities for more deeply, effectively and uniquely quantifying COVID-19-like global disasters from their intrinsic working mechanisms, interactions and dynamics.

Endomyocardial involvement in asymptomatic Latin American migrants with eosinophilia related to helminth infection: A pilot study.

Hypereosinophilic syndrome can produce cardiac involvement and endomyocardial fibrosis, which have a poor prognosis. However, there is limited information regarding cardiac involvement among migrants from Latin America with eosinophilia related to helminthiasis. We conducted a pilot observational study where an echocardiography was performed on migrants from Latin America with both eosinophilia (>450 cells/μL) and a diagnosis of helminth infection, and on migrants from Latin America without eosinophilia or helminth infection. Microbiological techniques included a stool microscopic examination using the Ritchie's formalin-ether technique, and a specific serology to detect Strongyloides stercoralis antibodies. 37 participants were included, 20 with eosinophilia and 17 without eosinophilia. Twenty (54.1%) were men with a mean age of 41.3 (SD 14.3) years. Helminthic infections diagnosed in the group with eosinophilia were: 17 cases of S. stercoralis infection, 1 case of hookworm infection, and 2 cases of S. stercoralis and hookworm coinfection. Among participants with eosinophilia, echocardiographic findings revealed a greater right ventricle thickness (p = 0.001) and left atrial area and volume index (p = 0.003 and p = 0.004, respectively), while showing a lower left atrial strain (p = 0.006) and E-wave deceleration time (p = 0.008). An increase was shown in both posterior and anterior mitral leaflet thickness (p = 0.0014 and p = 0.004, respectively) when compared with participants without eosinophilia. Migrants from Latin America with eosinophilia related to helminthic infections might present incipient echocardiographic alterations suggestive of early diastolic dysfunction, that could be related to eosinophilia-induced changes in the endomyocardium.

High Prevalence of Multistep Algorithms in Diagnostic Clostridioides difficile Laboratory Testing.

Laboratory testing practices for diagnosis of Clostridioides difficile infection (CDI) have evolved in response to published guidelines, availability of highly sensitive nucleic acid amplification tests (NAATs), perceived problems with the specificity of NAATs, and CDI reporting requirements. To assess the current state of laboratory practice for diagnostic CDI testing. An optional 8-item supplemental questionnaire was distributed in December 2019 to the 1374 laboratories participating in the College of American Pathologists C difficile Detection (CDF) proficiency testing program challenge CDF-C. Of 1374 CDF-C participants, 1160 (84.4%) responded, predominantly representing laboratories based in the United States (1077 of 1160; 92.8%). The majority reported using a multistep testing algorithm (684 of 1159; 59.0%). Initial testing with a glutamate dehydrogenase and toxin A/B combination test followed by NAAT for discrepant results was the most common testing method (360 of 1146; 31.4%). NAAT alone (299 of 1146; 26.1%) was next, then NAAT followed by an assay that included toxin A/B enzyme immunoassay if NAAT is positive (258 of 1146; 22.5%). Only 5.4% (62 of 1146) reported using toxin A/B immunoassay alone. Most respondents (1093 of 1131; 96.6%) reported rejecting CDI tests on formed stool, but rejection of CDI testing in pediatric patients was uncommon (211 of 1131; 18.7%). Rejection of CDI testing in patients using laxatives was reported more often by US-based respondents (379 of 1054 [36.0%] versus 9 of 77 [11.7%], P < .001). Multistep algorithms for CDI diagnosis are widely used in line with published recommendations. Most respondents reported rejection of formed stool for CDI testing, but few reported rejection of testing in infants and patients taking laxatives, suggesting these may be areas of opportunity for laboratories to pursue in improving CDI testing practices.

Dental and microbiological status of COVID-19 convalescent patients with simple marginal gingivitis

The pattern of dental morbidity in the population of the Russian Federation evidences about a high incidence of inflammatory periodontal diseases, which varies based on patient age and comorbidity. The negative age-related dynamics of dental health emphasizes the problem of concomitant pathology and requires constant monitoring of risk factors for inflammatory periodontal diseases. Insufficient attention is paid to endogenous risk factors, such as neurodystrophic disorders, diseases of the cardiovascular system, leukemia, anemia, gastrointestinal tract diseases, infections, etc. At the same time, the growth of “new” infections (HIV-infection, HCV-infection, Ebola fever, new coronavirus infection) is recorded with elevating level of other infectious diseases. The aim of the study is to assess dental and microbiological status of COVID-19 convalescent patients. A survey of 100 patients diagnosed with simple marginal gingivitis (ICD-10 code: K 05.10) was carried out consisting of the following groups: main group — 75 COVID-19 convalescent patients, control group — 25 COVID-19-negative subjects. All individuals underwent microbiological diagnostics for gingival groove contents and an assessed dental status. The index assessment was performed using the simplified Green-Vermillion Oral Hygiene Index (OHI-S), the PMA index (Parma) and the gingival papilla blood flow index (PBI). In the laboratory, the collected material was seeded onto expanded list of dense nutrient media. The identification of isolated microorganisms was carried out using MALDI-ToF mass spectrometry. Our analysis of the index assessment in both groups showed that the average values of the indices 1 month after the diagnosis of new coronavirus infection (ICD-10 code: U07.1) in main group are higher than in control group. Based on the results of a microbiological study, significant differences in the frequency of microbial species isolation were identified for 12 species. Thus, it is important to develop approaches to predicting development of chronic gingivitis and its exacerbation in COVID-19 patients.

Chitosan/agarose hydrogel dressing: pH response real-time monitoring and chemo-/photodynamic therapy synergistic treatment of infected wounds

The early diagnosis and real-time monitoring of bacterial infections are of great significance for the establishment of integrated diagnosis and treatment systems. In this study, a pH-responsive smart hydrogel patch system, named CABP, was developed to monitor and treat wound infections. CABP has a sandwich structure, with non-woven fabric/chitosan (NF/CS) as the intermediate skeleton layer, Agarose/chitosan/Bromothymol Blue (AG/CS/BTB) hydrogel as the detection layer, and Agarose/chitosan/phthalocyanine (AG/CS/Pc) hydrogel as the treatment layer. When Staphylococcus aureus (S. aureus) infection occurs, the pH of the environment decreases, which triggers the CABP to change from its original blue color to yellow, achieving an intuitive visual transformation. Moreover, the hydrogel patch showed a significant inhibition rate of up to 99.99971 % against S. aureus under 660 nm light radiation, showing a good photodynamic therapy (PDT)/ chemotherapy (CT) synergistic effect. In addition, CABP showed excellent antibacterial and wound healing effects on S. aureus infection in a full-layer skin defect experiment. In short, the patch system is simple to prepare and easy to use, and can provide important research value for the integrated diagnosis and treatment system in biomedical applications.

Atypical gouty tophus masquerading as a foreign body granuloma

Subcutaneous nodular lesions in a patient with significantly elevated inflammatory markers always raise the possibility of infectious diagnoses such as atypical infection, pyogenic abscess, mycobacterial infection, and malignancy. Definitive diagnosis requires tissue biopsy and histopathologic examination. The atypical presentation of a foreign body granuloma with concurrent intraoperative findings supports the diagnosis of gouty arthritis.We report a case of a 67-year-old man who presented with an inflammatory nodular lesion on the left elbow that was initially suspected to have an infectious cause. Histopathologic examination of the nodular tissue later revealed that the patient had a foreign body granuloma due to urate crystal deposition. The atypical appearance of the gouty arthritis, the low serum urate level, the negative crystal identification in the synovial fluid, and the markedly elevated inflammatory markers, which did not respond to the previous antibiotic and steroid therapy, raised the suspicion of atypical infection in this case.

Prevalence of early initiation of breastfeeding at Georgetown Public Hospital Corporation in Guyana

AbstractObjectiveTo assess the prevalence and factors associated with early initiation of breastfeeding at Georgetown Public Hospital Corporation (GPHC).MethodsThis study used data from an institution‐based cross‐sectional study conducted at GPHC from July to September 2022. A structured pretested questionnaire was used to collect the data. A total of 1276 mothers were interviewed and provided data on early initiation of breastfeeding. Early initiation of breastfeeding was defined as mothers who breastfed their babies within the first hour after birth. We performed descriptive analyses for both the outcome and the independent variables. Logistic regression and backward selection procedure were used to assess factors associated with early initiation of breastfeeding.ResultsThe prevalence of early breastfeeding at GPHC was 27.8% (95%CI: 25.4–30.3). Mothers who were primigravida (AOR: 0.52; 95%CI: 0.36–0.75), who had urinary tract infections during pregnancy (AOR: 0.72; 95%CI: 0.52–0.99), and who delivered by caesarean section (AOR: 0.06; 95%CI: 0.03–0.11) were less likely to breastfeed their babies in the first hour after birth. Likewise, babies who were diagnosed with any health problems after birth (AOR: 0.34; 95%CI: 0.21–0.54) had a lesser chance to receive breastfeeding in the first hour after birth, compared with their counterparts.ConclusionLess than one‐third of mothers who delivered at GPHC breastfed their babies within the first hour after birth. Targeted intervention focuses on promoting early initiation of breastfeeding, immediate skin‐to‐skin contact between mothers and babies, timely diagnosis and treatment of urinary tract infections during pregnancy are essential to improve the prevalence of early initiation of breastfeeding at GPHC.

Viral infections in atopic dermatitis.

Individuals with atopic dermatitis are susceptible to frequent viral skin infections due to a compromised epidermal barrier function and immune dysregulation. The diagnosis and management of viral infections in atopic dermatitis can be challenging due to various clinical phenotypes and overlapping clinical features. The literature is reviewed for the diagnosis, aetiology, management, differential diagnoses and complications of these viral infections to provide an up-to-date clinical overview for clinicians involved in caring for patients with atopic dermatitis, including patients with skin of colour. The importance of accurate diagnosis and appropriate management in cases of uncertainty is crucial due to the risk of life-threatening complications with some viral infections. The differing presentations of these infections in patients with skin of colour is highlighted as an underrepresented area of research. Future research with greater diversity of patients is needed for patients with atopic dermatitis complicated by viral skin infections.

Determinants of possible inflammatory myocardial damage in acute intestinal infections in children

BACKGROUND: Non-coronary cardiomyopathies, including inflammatory cardiomyopathies, are one of the leading causes of disability and mortality in children and adults. Inflammatory cardiomyopathy in most cases is an outcome of myocarditis as a result of direct agent-dependent myocardial damage or autoimmune reactions in the absence of genetic predisposition. AIM: On the basis of clinical assessment of cardiovascular system changes, to develop a discriminant model to predict the possibility of myocardial damage of inflammatory genesis in acute intestinal infections (AII) in children. MATERIALS AND METHODS: In the Intestinal Infections Department of the Children’s Research and Clinical Center for Infectious Diseases of FMBA of Russia in the period 2020-2022, 33 children aged from 1 month to 13 years with AII of different etiology were consecutively observed, in whom, according to clinical, laboratory and instrumental examination data, for the first time in their lives, changes in cardiovascular system were detected. The sample was formed using an algorithm for diagnosing inflammatory myocardial lesions in points, the sum of which concluded that there were no or presence of such, which allowed us to identify group 1 (n = 24) and group 2 (n = 9), respectively. Etiological diagnosis of acute intestinal infections was performed in all children, clinical and laboratory data, results of a 12-channel electrocardiogram (ECG), transthoracic echocardiography (EchoCG) were evaluated. The differences in the groups were revealed using the Pearson chi-squared test and the Mann–Whitney test, which were considered reliable at p 0.05. The method of discriminant analysis was used. RESULTS: Functional systolic noise and increased cardiospecific enzymes were observed less frequently in group 1 than in group 2 (4.2%; 22.2% and 67%; 100%). Of the pathological ECG changes, violations of the repolarization process were observed (16.7%; 33.3%). No significant changes in the Echo-KG were detected. The viral etiology of acute intestinal infections dominated (79.2%; 88.9%). Changes in the hemogram were characterized by a high frequency of leukocytosis in group 1 (29.2%; 0%) and leukopenia in group 2 (4.2%; 22.2%). In group 1, there was a higher frequency of neutrophilosis (79.2%; 44.4%), rod-shaped shift (62.5%; 22.2%), thrombocytosis (29.2%; 0%), lymphocytopenia (95.8%; 55.6%; p 0.05), monocytosis (8.3%; 0%); increased C-reactive protein (41.7%; 33.3%), ALT (29.2%; 11.1%), urea (29.2%; 11.1%), leukocyturia (16.7%; 0%). CONCLUSIONS: Clinical evaluation of cardiovascular system changes in children with acute intestinal infections using a discriminant model allows to exclude myocardial damage of inflammatory genesis with high probability (95.7%), which is of practical importance.

Sexually transmitted infection testing and diagnosis in adolescents and young adults with sickle cell disease.

Sexually transmitted infections (STIs) are common and disproportionately affect Black adolescents and young adults (AYAs). Less is known about STIs among Black AYAs with chronic conditions, such as sickle cell disease (AYAs-SCD). This study compared STI testing and diagnosis between AYAs-SCD and their peers, overall and among STI-related encounters. This retrospective, cross-sectional study used diagnosis and billing codes in the Pediatric Health Information System (PHIS) to identify inpatient and emergency department encounters from January 1, 2022 to May 31, 2023 among all AYAs 15-24years and those with STI-related diagnoses (e.g., "cystitis"). STI testing and diagnosis rates were compared between AYAs-SCD, non-Black AYAs, and Black AYAs, controlling for age, sex, and encounter setting. We identified 3602 AYAs-SCD, 177,783 Black AYAs, and 534,495 non-Black AYAs. AYAs-SCD were less likely to be tested for STIs than non-Black AYAs (odds ratio [OR]=0.26; adj. p<.001) and Black AYAs (OR=0.53; adj. p<.001). When tested, AYAs-SCD were more likely to be diagnosed with an STI than non-Black AYAs (OR=2.39; adj. p=.006) and as likely as Black AYAs (OR=0.67; adj. p=.15). Among STI-related encounters, AYAs-SCD were less likely to be tested than non-Black AYAs (OR=0.18; adj. p<.001) and Black AYAs (OR=0.44; adj. p<.001). No significant differences in STI diagnoses were found in this subset between AYAs-SCD and non-Black AYAs (OR=0.32; adj. p=.28) or Black AYAs (OR=1.07; adj. p=.99). STI care gaps may disproportionately affect AYAs-SCD. STIs should be considered when evaluating symptomatic AYAs-SCD in acute settings. More research is needed to further contextualize STI care for AYAs-SCD.

Actinobacillus pleuropneumoniae Serotypes by Multiplex PCR Identification and Evaluation of Lung Lesions in Pigs from Piedmont (Italy) Farms

Porcine pleuropneumonia (PPP) is one of the main causes leading to massive losses in the pig industry, with high economic impacts. Among different etiological agents, Actinobacillus pleuropneumoniae (APP) is responsible for severe fibrinous-necrotizing pleuropneumonia. A total of 19 different APP serotypes are currently recognized. This study aimed to identify APP serotypes isolated from pneumonic lesions in naturally infected and dead pigs in the Piedmont Region and to describe lesions. A total of 107 dead pigs with a suspected PPP diagnosis were included in this study. Lungs were evaluated using gross-pathology scoring systems, histopathology, and APP isolation and serotypes identification by multiplex PCR were conducted. Gross lung lesions were mainly represented by fibrinous pneumonia and pleuropneumonia. APP was isolated in 20/107 (18.7%) samples. PCR indicated APP DNA presence in 53/107 (49.5%) of lung samples. The most observed serotypes were serotype 2 in 24/53 (45.3%) and serotype 6 in 13/53 (24.5%) samples. Moreover, multiplex PCR results suggested a coinfection of different serotypes in five samples. This study emphasizes the importance of an integrated approach, utilizing various techniques, such as gross- and histopathology, and bacteriological culture and PCR, to enhance the diagnosis of APP infections.

SERS Platform for Integrated Enrichment, Isolation, and Identification of Multiple Respiratory Viruses in a Single Assay Using 3D Stereoscopic SERS Tags and Flocked Swabs.

Influenza (flu) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exhibit similar clinical symptoms, complicating the diagnosis and clinical management of these critical respiratory infections. Thus, there is an urgent need for rapid on-site detection technologies that can simultaneously detect SARS-CoV-2 and influenza A viruses. Here, we have developed the first platform that combines in situ sampling with immune swabs and multichannel surface-enhanced Raman spectroscopy (SERS) for simultaneous screening of these two respiratory viruses in a single assay. A seed-mediated growth method was used to assemble a number of silver spheres on the surface of Fe3O4@SiO2 spheres, which not only creates extensive Raman hotspots but also provides numerous sites for Raman signaling molecules, enhancing the sensing sensitivity. Integrating two specific Raman signaling molecules into the nanospheres allows for the parallel detection of both viruses, improving the efficiency of SERS signal read-out. Rapid quantitative screening of both SARS-CoV-2 and H1N1 is achievable within 15 min, with detection limits of 7.76, and 8.13 pg·mL-1 for their respective target proteins. The platform demonstrated excellent performance in testing and analyzing 98 clinical samples (SARS-CoV-2:50; influenza A:48), achieving sensitivities of 88.00, and 95.83% for SARS-CoV-2 and influenza A, respectively. Pearson's correlation analysis revealed a significant correlation with the clinical CT values (P < 0.0001), underscoring the great potential of this platform for the early, rapid, and simultaneous diagnostic discrimination of multiple pathogens.

Innovative Biosensor Technologies in the Diagnosis of Urinary Tract Infections: A Comprehensive Literature Review

Innovative Biosensor Technologies in the Diagnosis of Urinary Tract Infections: A Comprehensive Literature Review

The prevention of congenital toxoplasmosis using a combination of Spiramycin and Cotrimoxazole: The long-time experience of a tertiary referral centre.

Toxoplasmosis is a parasitic infection caused by Toxoplasma gondii and is responsible for gestational and congenital infections worldwide. The current standard therapy is based on the administration of Spiramycin to prevent trans-placental transmission. Other therapies are being studied to reduce the rates of foetal transmission and symptomatic congenital infection. We report our long-standing experience in maternal toxoplasmosis infection treatment using a combination of Spiramycin-Cotrimoxazole, assessing its effectiveness in preventing vertical transmission compared to the expected incidence of congenital infection. We retrospectively collected cases of pregnant women referred to our centre for suspected toxoplasmosis infection according to Lebech criteria, treated with Spiramycin-Cotrimoxazole. Of 1364 women referred to our centre, postnatal follow-up of primary toxoplasmosis was available in 562 cases (73.9%). The overall vertical transmission rate was 3.4% in women treated immediately with Spiramycin-Cotrimoxazole after the diagnosis of infection. In comparison, it was 7.7% in women undergoing the same therapy but late or with poor compliance. The foetal transmission rate was 71.4% in untreated cases. All the infected newborns of mother treated adequately with Spiramycin-Cotrimoxazole were asymptomatic afterbirth, while 6/21 infected infants of the inadequate Spiramycin-Cotrimoxazole therapy group had postnatal sequelae (28.5%). The incidence of transmission after appropriate Spiramycin-Cotrimoxazole therapy was significantly lower than the expected rate reported in literature. A combination of Spiramycin and Cotrimoxazole is safe and effective in preventing foetal congenital toxoplasmosis and reducing sequelae in case of in-utero infection. The timing and adherence to the therapy are crucial to lowering the risk of congenital infection and neonatal morbidity.

Utilizing Next-Generation Sequencing: Advancements in the Diagnosis of Fungal Infections

Next-generation sequencing (NGS) has emerged as a promising tool for diagnosing fungal infections. It enables the identification of a wide range of fungal species and provides more accurate and rapid results than traditional diagnostic methods. NGS-based approaches involve the sequencing of DNA or RNA from clinical samples, which can be used to detect and identify fungal pathogens in complex clinical samples. The development of targeted gene panels and whole-genome sequencing has allowed for identifying genetic markers associated with antifungal drug resistance, enabling clinicians to tailor patient treatment options. NGS can also provide insights into the pathogenesis of fungal infections and aid in discovering novel drug targets. Although NGS has some limitations, such as cost and data analysis, it can potentially revolutionize the future diagnosis and treatment of fungal infections.

Electrochemical Label-free Methods for Ultrasensitive Multiplex Protein Profiling of Infectious Diseases.

Electrochemical detection methods are the more appropriate detection methods when it comes to the sensitive and specific determination of biomarkers. Biomarkers are the biological targets for disease diagnosis and monitoring. This review focuses on recent advances in label-free detection of biomarkers for infectious disease diagnosis. The current state of the art for rapid detection of infectious diseases and their clinical applications and challenges were discussed. Label-free electroanalytical methods are probably the most promising means to achieve this. We are currently in the early stages of the emerging technology of using label-free electrochemistry of proteins to develop biosensors. To date, antibody-based biosensors have been intensively developed, although many improvements in reproducibility and sensitivity are still needed. Moreover, there is no doubt that a growing number of aptamers and hopefully label-free biosensors based on nanomaterials will soon be used for disease diagnosis and therapy monitoring. And also here in this review article, we have discussed recent developments in the diagnosis of bacterial and viral infections, as well as the current status of the use of label-free electrochemical methods for monitoring inflammatory diseases.

Imaging diagnosis and main consideration of urachal cyst infection and urachal abscess.

Imaging diagnosis and main consideration of urachal cyst infection and urachal abscess.

Smart wireless flexible bandage containing drug loaded polycaprolactone microparticles for real-time monitoring and treatment of chronic wounds.

The quality of life is negatively impacted by chronic wounds for more than 25 million people in the US. They are quite prone to infection, which may lead to the eventual loss of a limb. By exposing the ulcers to treatment agents at the appropriate time, the healing rate is increased. On-demand drug release in a closed-loop system will aid us in reaching our goal. In this study, we have developed a platform capable of real-time diagnosis of bacterial infection by wirelessly reading wound pH, as well as slow and on-demand local administration of antibiotics. The drug carrier microparticles, an electrical patch, a thermoresponsive hydrogel with an integrated microheater, and a flexible pH sensor comprised the closed-loop patch. Here it is reported that slow and smart release of cefazolin can be addressed by incorporation of drug encapsulated hydrophobic microparticles embedded into a thermo-responsive hydrogel. The utilization of a programmable bandage to provide antibiotic medication highlights the need of not only choosing appropriate therapeutic substances but also the controlled release of the medicine and its rate of release within the wound area. The results of our study indicate that the use of cefazolin encapsulated polycaprolactone (PCL) microparticles can effectively regulate the application of antibiotic treatment for chronic skin wounds. The results also showed a substantial gradual release of cefazolin from the thermo-responsive Pnipam hydrogel when the wound dressing was subjected to a temperature of 37°C. We believe that the developed flexible smart bandage can have a significant impact on chronic wound healing.