Development and Evaluation of a Textanalytics Algorithm for Automated Application of the Bsr Covid-19 Shielding Criteria in Rheumatology Patients

Background/Aims In April 2020 the British Society for Rheumatology (BSR) issued a risk stratification guide to identify patients at the highest risk of COVID-19 requiring shielding. This guidance was based on patients' age, comorbidities, and immunosuppressive therapies - including biologics that are not captured in primary care records. This meant rheumatologists needed to manually review outpatient letters to score patients' risk. The process required considerable clinician time, with shielding decisions not always transparently communicated. Our aim was to develop an automated shielding algorithm by text-mining outpatient letter diagnoses and medications, reducing the need for future manual review. Methods Rheumatology outpatient letters from Salford Royal Hospital, a large UK tertiary hospital, were retrieved between 2013-2020. The two most recent letters for each patient were extracted, created before 01.04.2020 when BSR guidance was published. Free-text diagnoses were processed using Intelligent Medical Objects software1 (Concept Tagger), which utilised interface terminology for each condition mapped to a SNOMED-CT code. We developed the Medication Concept Recognition tool (MedCore Named Entity Recognition) to retrieve medications type, dose, duration and status (active/past) at the time of the letter. The medication status was established based on the heading where they appeared (e.g. past medications, current medications), but incorporated additional information such as medication stop dates. The age, diagnosis and medication variables were then combined to output the BSR shielding score. The algorithm's performance was calculated using clinical review as the gold standard. Results To allow for the comparison with manual decisions, we focused on all 895 patients who were reviewed clinically. 64 patients (7.1%) had not consented for their data to be used for research as part of the national opt-out scheme. After removing duplicates, 803 patients were used to run the algorithm. 11,558 free-text diagnoses were extracted and mapped to SNOMED CT, with 15,003 free-text medications (that included past, present and any planned treatment). The automated shielding algorithm demonstrated a sensitivity of 80.3% (95% CI: 74.7, 85.2%) and specificity of 92.2% (95% CI: 89.7, 94.2%). Positive likelihood ratio was 10.3 (95% CI: 7.7, 13.7), negative likelihood ratio was 0.21 (95% CI: 0.16, 0.28), F1 score was 0.81. False positive rate was 7.9%, whilst false negative rate was 19.7%. Further evaluation of false positives/negatives revealed clinician interpretation of BSR guidance and misclassification of medications status were important contributing factors. Conclusion An automated algorithm for risk stratification has several advantages including reducing clinician time for manual review to allow more time for direct care, improving efficiency and transparently communicating decisions based on individual risk. With further development, it has the potential to be adapted for future public health initiatives that requires prompt automated review of hospital outpatient letters.

INTERIM RESULTS OF THE PML-16, PML-19 PROTOCOLS FOR PRIMARY MEDIASTINAL LARGE B-CELL LYMPHOMA THERAPY

Introduction. Primary mediastinal lymphoma (PML) is an aggressive lymphoid tumor treatment success of which is determined by induction therapy. To date, none of the standard chemotherapy regimens (CT) have demonstrated an advantage in efficacy. Intensive therapy programs are associated with high toxicity. Aim - to evaluate the efficacy and toxicity of two pilot prospective treatment protocols PML-16 and PML-19 as well as the possibility of using the analysis of freely circulating tumor DNA (ctDNA) to assess MRD in patients with PML. Materials and methods. From January 2016 to January 2022, 34 previously untreated PML patients were included in the study;average age - 32;stage > I - in 60 %;extramediastinal lesions - in 14.7 %;bulky disease - in 73.5 % of patients. Positron emission tomography combined with computed tomography (PET-CT) was performed;ctDNA was determined to assess the completeness of remission. Results. Eighteen patients received treatment according to the PML-16 protocol (6 courses of chemotherapy;2 blocks of RmNHL-BFM-90 + 4 courses of R-EPOCH). After the end of therapy, all 18 patients achieved PET-negative remission. The next 16 patients received treatment according to the PML-19 protocol (4 courses of chemotherapy;2 blocks of R-mNHL-BFM-90 + 2 courses of R-EPOCH) in combination with lenalidomide. After the end of therapy, 9 (56 %) patients achieved PET-negative remission;7 (44 %) retained pathological activity (D4-5 points). After 3 and 6 months 15 (94 %) patients achieved normalization of metabolic activity. Considering the high frequency of false-positive results in patients with PML, a ctDNA study was performed to determine the depth of remission in 15 patients. After the end of therapy, all 15 patients had complete elimination of ctDNA. Of these, 5 (33 %) remained PET-positive at the end of treatment. During further observation, after 3-6 months, in 4 patients the level of metabolic activity decreased to physiological without the use of consolidating therapy. After the end of therapy, one patient suffered the new coronavirus infection, COVID-19. A month later, residual formation of SUVmax 14.2 remained in the mediastinum. The patient is currently under observation. With a median follow-up of 36 months (9 to 76 months) all 34 patients are in remission. Conclusion. The effectiveness of PML-16 made it possible to abandon the consolidation therapy and refuted the idea of the need for 6 courses of CT. The combination of programs based on the application of the principle of high-dose short-pulse induction of remission (R-mNHL-BFM-90) in combination with the prolonged administration of medium doses (R-EPOCH) was crucial in achieving a successful result. The inclusion of lenalidomide in the "PML-19" program made it possible to achieve complete remission in 100 % of cases after 4 courses. The possibility of using DNA analysis to assess MRD in patients with PML was shown.Copyright © 2022 Izdatel'stvo Meditsina. All rights reserved.

Imprecision in adverse event reports following immunization against HPV in Japan and COVID-19 in the USA, UK, and Japan-and the effects of vaccine hesitancy and government policy.

INTRODUCTION: Erroneous reports of adverse events following immunization (AEFIs) likely exacerbated the 2013 collapse of Japan's HPV immunization program. A similar phenomenon characterized the first months of COVID-19 immunization programs in the USA, UK, and Japan with high rates of reported anaphylaxis. These reports illustrate the susceptibility of supposedly objective medical judgments to public anxiety. PURPOSE AND METHODS: This study documents inaccuracies in reported AEFIs using three quantitative methods. RESULTS: One of these quantitative methods revealed that false-positive rates for anaphylaxis reports following HPV and later COVID-19 vaccination ranged from 74 to 91 percent. However, unlike HPV vaccinations in Japan, anaphylaxis reports following COVID-19 vaccines fell in Japan, the USA and the UK in the latter months of 2021. Nevertheless, false-positive rates for anaphylaxis reports remained high, suggesting a high degree of imprecision in serious AEFI reports from many countries for many vaccines. Japan's HPV immunization program indicates that media reports, patient hesitancy, healthcare providers' perspectives on vaccine safety, and consistency of government messaging, all influence report number and accuracy. A parallel publication analyzes in depth how such factors affect AEFI reports. CONCLUSION: Confidence in the safety of the COVID-19 vaccines may have been bolstered trough rapid monitoring of AEFI reports and communication of these findings. This may partly explain the different trajectories of serious AEFI following HPV immunizations in Japan and COVID-19 immunizations in the USA, UK, and Japan.

Impact of SARS-CoV-2 immunization on a breast screening programme

BACKGROUND: A common secondary effect after SARS-CoV-2 immunization is an increased in size of the axillary lymph nodes ipsilateral to the vaccinated site. Eventually, an increased in size of the axillary lymph nodes may lead to a misinterpretation of the breast screening mammogram, performed in asymptomatic women between the age 50 to 69 years old for early breast cancer diagnosis. The aim of our research was to evaluate the impact of the vaccination for SARS-CoV-2 in the breast screening programmes in terms of recall rates and number of false positive results. As a secondary purpose we would analysed the protocols adopted by different breast screening units around the world after SARS-CoV-2 vaccination. METHODS: Observational and retrospective study analysing breast screening mammograms from a single Breast Cancer Screening Unit in Madrid. The mammograms of previously vaccinated women were analysed, reviewing the axillary lymph nodes and the re-call rate secondary to axillary lymphadenopathies. RESULTS: Four hundred and twenty three screening mammograms were performed in May 2021 in the University Hospital Ramon y Cajal in Madrid, which is part of the Breast Screening Programme in Madrid, Spain. None of the women previously vaccinated for SARS-CoV-2 were recalled for complementary studies due to an increased in the axillary lymph nodes. CONCLUSIONS: The protocol stablished by the Spanish Society of Breast Image that stands up for a routine breast screening mammogram after SARS-CoV-2 immunization, has no increase in the recall rate or increase in number of false positives.

Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges

Federated learning is the process of developing machine learning models over datasets distributed across data centers such as hospitals, clinical research labs, and mobile devices while preventing data leakage. This survey examines previous research and studies on federated learning in the healthcare sector across a range of use cases and applications. Our survey shows what challenges, methods, and applications a practitioner should be aware of in the topic of federated learning. This paper aims to lay out existing research and list the possibilities of federated learning for healthcare industries.© 2022 Copyright held by the owner/author(s).

INTERIM RESULTS OF THE PML-16, PML-19 PROTOCOLS FOR PRIMARY MEDIASTINAL LARGE B-CELL LYMPHOMA THERAPY.

Introduction. Primary mediastinal lymphoma (PML) is an aggressive lymphoid tumor treatment success of which is determined by induction therapy. To date, none of the standard chemotherapy regimens (CT) have demonstrated an advantage in efficacy. Intensive therapy programs are associated with high toxicity. Aim - to evaluate the efficacy and toxicity of two pilot prospective treatment protocols PML-16 and PML-19 as well as the possibility of using the analysis of freely circulating tumor DNA (ctDNA) to assess MRD in patients with PML. Materials and methods. From January 2016 to January 2022, 34 previously untreated PML patients were included in the study;average age - 32;stage > I - in 60 %;extramediastinal lesions - in 14.7 %;bulky disease - in 73.5 % of patients. Positron emission tomography combined with computed tomography (PET-CT) was performed;ctDNA was determined to assess the completeness of remission. Results. Eighteen patients received treatment according to the PML-16 protocol (6 courses of chemotherapy;2 blocks of RmNHL-BFM-90 + 4 courses of R-EPOCH). After the end of therapy, all 18 patients achieved PET-negative remission. The next 16 patients received treatment according to the PML-19 protocol (4 courses of chemotherapy;2 blocks of R-mNHL-BFM-90 + 2 courses of R-EPOCH) in combination with lenalidomide. After the end of therapy, 9 (56 %) patients achieved PET-negative remission;7 (44 %) retained pathological activity (D4-5 points). After 3 and 6 months 15 (94 %) patients achieved normalization of metabolic activity. Considering the high frequency of false-positive results in patients with PML, a ctDNA study was performed to determine the depth of remission in 15 patients. After the end of therapy, all 15 patients had complete elimination of ctDNA. Of these, 5 (33 %) remained PET-positive at the end of treatment. During further observation, after 3-6 months, in 4 patients the level of metabolic activity decreased to physiological without the use of consolidating therapy. After the end of therapy, one patient suffered the new coronavirus infection, COVID-19. A month later, residual formation of SUVmax 14.2 remained in the mediastinum. The patient is currently under observation. With a median follow-up of 36 months (9 to 76 months) all 34 patients are in remission. Conclusion. The effectiveness of PML-16 made it possible to abandon the consolidation therapy and refuted the idea of the need for 6 courses of CT. The combination of programs based on the application of the principle of high-dose short-pulse induction of remission (R-mNHL-BFM-90) in combination with the prolonged administration of medium doses (R-EPOCH) was crucial in achieving a successful result. The inclusion of lenalidomide in the "PML-19" program made it possible to achieve complete remission in 100 % of cases after 4 courses. The possibility of using DNA analysis to assess MRD in patients with PML was shown.Copyright © 2022 Izdatel'stvo Meditsina. All rights reserved.

Mortality And Morbidity Burden Of Covid-19 Infection In Left Ventricular Assist Device Patients

Introduction: COVID-19 pandemic has resulted in more than 6.1 million deaths and more than 480 million infections worldwide (1). Left ventricular assist device patients (LVAD) with their multiple co-morbidities are at high risk for morbidity and mortality from the COVID-19 infection. Few studies and case reports demonstrating the outcomes of COVID-19 infection in LVAD patients have been published, with the most recent study in 2021 (2-4). However, none of these studies spanned the entire stretch of the pandemic. Hypothesis: : COVID-19 infection would result in significant mortality and multi-system complications among patients with an LVAD. Method(s): IRB approval was obtained for our retrospective cohort study. 225 LVAD patients across two large centers in Texas, USA were screened for COVID-19 infection from December 1, 2019 to February 28, 2022. 68 events of COVID-19 infection were identified among 64 patients. One patient was excluded due to false positive test and 3 patients were infected twice and counted as separate events. Outcomes including mortality, respiratory failure, bleeding, and thromboembolic complications were assessed. Result(s): Baseline characteristics and results are summarized in Table 1. 51% of the patients needed hospitalization or emergency department visit for COVID infection. Five patients were intubated (7.4%). 6 patients developed chronic hypoxic respiratory failure requiring outpatient supplemental oxygen. 4 patients suffered from ventricular tachycardias while three other patients had Implantable cardioverter Defibrillator (ICD) shocks during COVID infection. 9 patients had epistaxis or gastrointestinal bleeding within 1 month of testing COVID positive. One HM2 patient had confirmed LVAD outflow cannula thrombus on CT heart and another patient with HeartWare had confirmed inflow cannula thrombus requiring emergent exchange to HM3 due to pump stoppage. Three patients suffered a stroke (5%). No events of pulmonary emboli or DVTs were noted. The mortality rate among this cohort was 14% (9 out of 64 patients). Four patients died during the same hospitalization. 33% had HM2 and 67% had HM3 LVADs, making a mortality rate of 37% (3 out of 8) for HM2 patients and 9% for HM3 (6 out of 55). 88% were males, 56% were African Americans, 67% had NICM, and 78% had at least moderate RV dysfunction at baseline. Conclusion(s): COVID-19 infection resulted in significant mortality and complications including stroke, pump thrombus, arrhythmias, respiratory failure, and bleeding events among LVAD patients.Copyright © 2022

The use of handheld ultrasound device in cardiac examination of patients with history of COVID-19

Background: Clinical usefulness of Handheld Ultrasound Device [HUD] was previously confirmed in numerous clinical scenarios. During the previous two years Covid-19 patients become a focal point of healthcare worldwide. The assessment of long term consequences of this infection is bound to overload already burdened healthcare system. Purpose(s): To assess clinical usefulness of HUD as an adjunct to physical cardiac examination of patients with history of COVID-19. Method(s): Study population consisted of randomly selected patients with no symptoms of cardiovascular pathology, who had been hospitalized due to COVID-19 one year prior to examination. Physical examination and clinical assessment was augmented with short examination with the use of HUD, which included: Visual evaluation of the global and regional LV function, measurement of RV size, screening for the significant valve defects and the presence of pericardial effusion. Subsequently full echocardiographic examination with the use of high-end workstation was performed, which results were treated as reference. Result(s): 54 patients (35 men, mean age 63+/-13 years) were enrolled into the study. In clinical examination no significant cardiovascular abnormalities were discovered. In 30 [56%] of patients cardiac abnormalities in HUD examination were detected. In 18 patients [33%] LV function assessment was not performed, due to insufficient quality of registered view. In the remaining group significant impairment of LV ejection fraction (<50%) was detected in HUD examination in 3 [6%] patients (2 confirmed in full examination, positive predictive value [PPV] 57%, negative predictive value [NPV] 97%, AUC 0,82+/-0,17, P 0,057). WMA were diagnosed in 6 [11%] patients (4 confirmed in full examination, PPV 84% NPV 78%, AUC 0,69+/-0,17, P 0,02). RV enlargement was identified in 21 [39%] patients (PPV 57%, NPV 97%, AUC 0,85+/-0,05, P<0,0001), mild pericardial effusion in 3 [6%] patient (1 confirmed in full echocardiographic examination;2 false positive, no false negative), at least moderate mitral/tricuspid/aortic valve insufficiency in 7 [13%] patients (3 confirmed, 4 false positive cases, no false negative). A total mean time of the heart and lungs HUD examination was 2,1+/-0,6 minute. Conclusion(s): Cardiac abnormalities exposed in brief assessment with the use HUD are a relatively common finding in asymptomatic patients previously hospitalized due to COVID infection in a 1-year follow-up, despite normal physical examination. Normal HUD examination excludes the presence of significant cardiac abnormalities with high probability. However one should keep in mind a relatively high percentage of false positive results, which may lead to an exceeding number of patients referred for a full echocardiographic examination.

Left atrial thrombus exclusion before atrial fibrillation ablation: Reconsidering the role of cardiac computed tomography

Objectives: Considering the risk of aerosolization during the COVID-19 pandemic associated with transesophageal echocardiography (TEE), we evaluated the diagnostic performance of cardiac computed tomography (CCT) before pulmonary vein isolation (PVI) in comparison to semi-invasive TEE in excluding left atrial (LA)/LA appendage (LAA) thrombus, limiting the need for TEE to only patients with possible thrombus on CCT. Material(s) and Method(s): We included a total of 145 consecutive patients with atrial fibrillation (AF) (age 52.4 +/- 10.3 years;63% males;89 paroxysmal AF) referred for radiofrequency ablation in National Cardiovascular Center Harapan Kita, Jakarta, Indonesia. All patients underwent preprocedural single-phase 128-slice multidetector CT and subsequent TEE as the reference standard with a mean time interval of 6.5 +/- 5.3 days between the two procedures. Result(s): CCT identified 30 patients (20.7%) with a filling defect in the LA/LAA, 8 of which were confirmed by TEE as thrombi (22 false positives and 8 true positives), whereas 9 true thrombi (6.2%) were detected by TEE (1 false negative by CCT). The sensitivity and specificity of CCT were 88.9% and 83.8%, respectively, with a positive predictive value of 26.8% and a negative predictive value of 99.1%. The overall accuracy was 84.1%. Conclusion(s): Apart from being a planned preparation modality before PVI, CCT is sufficient and could be used as an initial step to exclude the presence of LA/LAA thrombus, limiting the invasive TEE only for confirmation of the thrombus if detected by CCT.

Problems of PCR diagnostics OF COVID-19.

To date, an adequate and timely assessment of the number of cases is the basis of effective measures aimed at preventing the spread of COVID-19 infection. Real-time reverse transcription polymerase chain reaction (RT-PCR) remains the gold standard for confirming COVID-19. The purpose of the work: to analyze the experience of the city virological center of the S.P. Botkin Clinical Infectious Diseases Hospital (Botkin Hospital) for the examination for the presence of SARS-CoV-2 coronavirus by PCR in the period from 2020 to 2022. Materials and methods. The systematization of PCR studies on COVID-19 for the period 2020-2022 was carried out. A total of 221,901 people were examined, positive results were obtained in 55,372 (24.95%). Among the contingents of the examined patients, patients who underwent inpatient treatment at the Botkin Hospital, Conclusions. This study analyzed the possible causes of false-positive and false-negative PCR results. The correlation of the number of positive results with the dynamics of detection of new cases of COVID-19 in St. Petersburg during the 2020-2022 pandemic is shown. It has been established that the proportion of patients examined more than 3 times during the period of hospitalization remains significant. This fact requires the closest attention, given the high cost and laboriousness of PCR studies.Copyright © 2022 Authors. All rights reserved.

Diagnosing COVID-19: diagnostic importance of detecting E gene of the SARS-CoV-2 genome

Aim: To evaluate the significance of E gene analysis in addition to N and RdRp genes of SARS-CoV-2, and to compare the specificity and sensitivity of targets. Material(s) and Method(s): We used two reverse transcription-PCR assays: one targeting N, E and RdRp and the other targeting N and RdRp genes and analyzed variation in threshold cycle (Ct) values. Result(s): Of the 155 samples, 70.32% tested positive: all three genes were detected in 45.87%, N and RdRp in 19.27% and only N in 34.86%. Patients negative for the E gene were tested after symptoms disappeared and Ct values were significantly higher. Conclusion(s): Samples negative for the E gene were potentially false positive and clinical conditions should be assessed while interpreting results.Copyright © 2023 Future Medicine Ltd.

A comprehensive review and clinical guide to molecular and serological diagnostic tests and future development: In vitro diagnostic testing for COVID-19

COVID-19 is a contagious syndrome caused by SARS Coronavirus 2 (SARS-CoV-2) that requires rapid diagnostic testing to identify and manage in the affected persons, characterize epidemiology, and promptly make public health decisions and manage the virus present in the affected person and promptly make public health decisions by characterizing the epidemiology. Technical problems, especially contamination occurring during manual real-time polymerase chain reaction (RT-PCR), can result in false-positive NAAT results. In some cases, RNA detection technology and antigen testing are alternatives to RT-PCR. Sequencing is vital for tracking the SARS-CoV-2 genome's evolution, while antibody testing is beneficial for epidemiology. SARS-CoV-2 testing can be made safer, faster, and easier without losing accuracy. Continued technological advancements, including smartphone integration, will help in the current epidemic and prepare for the next. Nanotechnology-enabled progress in the health sector has aided disease and pandemic management at an early stage. These nanotechnology-based analytical tools can be used to quickly diagnose COVID-19. The SPOT system is used to diagnose the coronavirus quickly, sensibly, accurately, and with portability. The SPOT assay consists of RT-LAMP, followed by pfAgo-based target sequence detection. In addition, SPOT system was used to detect both positive and negative SARS-CoV-2 samples. This combination of speed, precision, sensitivity, and mobility will allow for cost-effective and high-volume COVID-19 testing. © 2023 the author(s), published by De Gruyter.

COVID-19 Diagnostic Classification from Chest X-Ray Scan Images Based on Random Forest and DenseNet

The outbreak of the coronavirus disease 2019 (i.e. COVID-19) pandemic has made an extremely serious impact on the world, and the false positive rate of X-ray images in the diagnosis of COVID-19 is a challenge for the management of the pandemic. To better assist doctors in the rapid detection of patients with COVID-19 patients, 9, 208 chest X-Ray images in 4 types of pneumonia patients, including'COVID-19','Normal','Viral-caused Pneumonia' and'Bacterial-caused Pneumonia' are implemented to build the models via DenseNet and Random Forest to classify whether a patient has signs of infection. The accuracy of the Densenet and Random Forest models is 82.03% and 88% separately according to the experimental results. Based on it, a conclusion can be summarized that when the sample size is very small, random forest is a better model than the DenseNet (i.e. Convolution Neural Network Model), which demonstrates the potential of traditional machine learning methods. © 2022 Association for Computing Machinery.

A fast point-of-care PCR test for infectious diseases, based on aerosol capturing

The COVID-19 pandemic quickly revealed the limitations of existing monitoring and diagnostic capabilities. While rapid antigen tests are not sufficiently reliable, PCR turn-around-time (TAT) typically ranges from hours to days. Standard swab-based tests are also cumbersome and invasive and, worse yet, they detect infection and not transmissibility. A reliable diagnostic test able to discern the infectious phase of COVID-19 could interrupt transmission while limiting isolation requirements. We developed a non-invasive, impaction-based method for capturing aerosols from human breath in one minute of sampling. A proof-of-principle system was used for the detection of viral RNA in breath samples from confirmed positive subjects (=29). A lab setup demonstrated compatibility with on-chip PCR, reducing the TAT to 15-20 minutes. Positive percentage agreement (PPA) between a breath- and nasopharyngeal PCR is 75% overall and 92% in the first 7 days of infection, after which the breath does not contain measurable virus anymore. Breath positivity corresponds to the infectious window. No false positives were noted. Diagnostic accuracy is superior to nasopharyngeal rapid antigen tests. This novel concept of aerosol capturing combined with ultra-fast PCR is proven to be effective to detect SARS-CoV-2 in breath, rivalling the standard nasopharyngeal PCR tests. Combined with a TAT on par with rapid antigen tests, the technology has the potential to become a standard test in the coming years, for COVID-19 or other infectious diseases. A validation study with an advanced setup is currently ongoing, first data should be available during the presentation.

False-positive Xpert® Xpress SARS-CoV-2 assay in an emergency room and trauma center: A retrospective chart review study.

OBJECTIVES: To review reports false-positive Xpert results in an emergency room and trauma center. METHODS: Patients' data with false-positive Xpert results from November 2020 to February 2022 at Pusan National University Hospital, Busan, Republic of Korea, were extracted from the electronic medical records. RESULTS: The positive predictive value of Xpert was 40%. Of the 12 patients with false-positive results, 5 (41.7%) were re-positives (such as, patients recovered from coronavirus disease-19 [COVID-19]), and 4 (33.3%) had head or facial trauma. Two out of 4 head or facial trauma cases had documented sample contamination with blood. CONCLUSION: We found a high incidence of false-positive Xpert results among patients who recovered from COVID-19 and those with head or facial injury. Careful history taking for COVID-19 and physical examination of the sample collection site is essential before Xpert analysis.

Electronic Sensors to Detect SARS-CoV-2 Viruses in Real Time

Sensors with 60 nm gap junctions coated with aptamers that bind with S1 and S2 spiking proteins of the SARS-CoV-2 virus were developed. Sensor impedance changes with virus enabling rapid (∼1 min), point-of-care detection. Exosomes and other nanoparticles in the saliva produce false positive signals but do not bind with aptamers and are easily removed to achieve 6% false positivity rates. A positive sensor voltage is used to attract negatively charged SARS-CoV-2 viruses to the junction and reduce sensor false negativity rates to below 7%. The limit of detection of the sensor is 1000 viruses and can be altered by changing the sensor's lateral dimensions and its transduction noise level. © 2001-2012 IEEE.

Detection of COVID-19 Using CNN and ML Algorithms

As we see coronavirus is the very dangerous diseases and to identify this diseases in one's body is also not as easy. So during identification of diseases there are many false positive cases we see that person does not have corona and still the prediction comes true and also in some cases, it happens that person has corona but it does not get detected (false negative case). So due to this problem, we here come up with the two approaches and make comparison between these two approaches and decide which one is better to analyze the diseases in the body. We are using CNN to scan chest X-ray dataset and ML algorithms for tabular dataset as it contains many text information too. So in this project, we explain in detail, what is CNN, what is ML, how to implement CNN and ML algorithms on particular dataset, what output we will get as a comparison. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Potential usage of anterior nasal sampling in clinical practice with three rapid antigen tests for SARS-CoV-2

Introduction: Anterior nasal sampling (AN) might be more convenient for patients than NP sampling to diagnose coronavirus disease. This study investigated the feasibility of rapid antigen tests for AN sampling, and the factors affecting the test accuracy. Methods: This single-center prospective study evaluated one qualitative (ESP) and two quantitative (LUMI and LUMI-P) rapid antigen tests using AN and NP swabs. Symptomatic patients aged 20 years or older, who were considered eligible for reverse-transcription quantitative polymerase chain reaction using NP samples within 9 days of onset were recruited. Sensitivity, specificity, and positive and negative concordance rates between AN and NP samples were assessed for the rapid antigen tests. We investigated the characteristics that affected the concordance between AN and NP sampling results. Results: A total of 128 cases were recruited, including 28 positive samples and 96 negative samples. The sensitivity and specificity of AN samples using ESP were 0.81 and 1.00, while those of NP samples were 0.94 and 1.00. The sensitivity of AN and NP samples was 0.91 and 0.97, respectively, and specificity was 1.00, for both LUMI and LUMI-P. The positive concordance rates of AN to NP sampling were 0.87, 0.94, and 0.85 for ESP, LUMI, and LUMI-P, respectively. No factor had a significant effect on the concordance between the sampling methods. Conclusions: ESP, LUMI, and LUMI-P showed practical diagnostic accuracy for AN sampling compared to NP sampling. There was no significant factor affecting the concordance between AN and NP sampling for these rapid antigen tests. © 2022 Japanese Society of Chemotherapy and The Japanese Association for Infectious Diseases

Key Generation with Ambient Audio

Digital Contact Tracing (DCT) has been proposed to limit the spread of COVID-19, allowing for targeted quarantine of close contacts. The protocol is designed to be lightweight, broad-casting limited-time tokens over Bluetooth Low Energy (BLE) beacons, allowing receivers to record contacts pseudonymously. However, currently proposed protocols have vulnerabilities that permit an adversary to perform massive surveillance or cause significant numbers of false-positive alerts. In this paper, we present AcousticMask, which encrypts broadcast messages using a key derived from the audio signal present at each device with sufficient security levels. Our results show that a receiver sharing the same social space as a sender will hear all of the sender's ephemeral IDs (EphIDs) with Hamming distance at most 3, which can be decrypted at the rate of 10 Hz on a Raspberry Pi 4, while achieving a security factor of over 2108against attackers in our testing set, showing AcousticMask is lightweight for DCT and provides sufficient security levels to protect user's privacy. © 2022 IEEE.

An efficient lung disease classification from X-ray images using hybrid Mask-RCNN and BiDLSTM

Lung diseases mainly affect the inner lining of the lungs causing complications in breathing, airway obstruction, and exhalation. Identifying lung diseases such as COVID-19, pneumonia, fibrosis, and tuberculosis at the earlier stage is a great challenge due to the availability of insufficient laboratory kits and image modalities. The rapid progression of the lung disease can be easily identified via Chest X-rays and this serves as a major boon for the terminally ill patients admitted to Intensive Care Units (ICU). To enhance the decision-making capability of the clinicians, a novel lung disease prediction framework is proposed using a hybrid bidirectional Long-Short-Term-Memory (BiDLSTM)-Mask Region-Based Convolutional Neural Network (Mask-RCNN) model. The Crystal algorithm is used to optimize the scalability and convergence issues in the Mask-RCNN model by hyperparameter tuning. The long-range dependencies for lung disease prediction are done using the BiDLSTM architecture which is connected to the fully connected layer of the Mask RCNN model. The efficiency of the proposed methodology is evaluated using three publicly accessible lung disease datasets namely the COVID-19 radiography dataset, Tuberculosis (TB) Chest X-ray Database, and National Institute of Health Chest X-ray Dataset which consists of the images of infected lung disease patients. The efficiency of the proposed technique is evaluated using different performance metrics such as Accuracy, Precision, Recall, F-measure, Specificity, confusion matrix, and sensitivity. The high accuracy obtained when comparing the proposed methodology with conventional techniques shows its efficiency of it in improving lung disease diagnosis. Copyright © 2022 Elsevier Ltd