keyword
https://read.qxmd.com/read/38227609/application-of-in-silico-drug-discovery-techniques-to-discover-a-novel-hit-for-target-specific-inhibition-of-sars-cov-2-mpro-s-revealed-allosteric-binding%C3%A2-with-mao-b-receptor-a-theoretical-study-to-find-a-cure-for-post-covid-neurological-disorder
#21
JOURNAL ARTICLE
Magdi E A Zaki, Sami A Al-Hussain, Aamal A Al-Mutairi, Abdul Samad, Vijay H Masand, Rahul G Ingle, Vivek Digamber Rathod, Nikita Maruti Gaikwad, Summya Rashid, Pravin N Khatale, Pramod V Burakale, Rahul D Jawarkar
Several studies have revealed that SARS-CoV-2 damages brain function and produces significant neurological disability. The SARS-CoV-2 coronavirus, which causes COVID-19, may infect the heart, kidneys, and brain. Recent research suggests that monoamine oxidase B (MAO-B) may be involved in metabolomics variations in delirium-prone individuals and severe SARS-CoV-2 infection. In light of this situation, we have employed a variety of computational to develop suitable QSAR model using PyDescriptor and genetic algorithm-multilinear regression (GA-MLR) models (R2 = 0...
2024: PloS One
https://read.qxmd.com/read/38227279/demographics-trends-and-clinical-characteristics-of-hiv-pre-exposure-prophylaxis-recipients-and-people-newly-diagnosed-with-hiv-from-large-electronic-health-records-in-florida
#22
JOURNAL ARTICLE
Yiyang Liu, Khairul A Siddiqi, Hwayoung Cho, Haesuk Park, Mattia Prosperi, Robert L Cook
Florida is one of the HIV epicenters with high incidence and marked sociodemographic disparities. We analyzed a decade of statewide electronic health record/claims data-OneFlorida+-to identify and characterize pre-exposure prophylaxis (PrEP) recipients and newly diagnosed HIV cases in Florida. Refined computable phenotype algorithms were applied and a total of 2186 PrEP recipients and 7305 new HIV diagnoses were identified between January 2013 and April 2021. We examined patients' sociodemographic characteristics, stratified by self-reported sex, along with both frequency-driven and expert-selected descriptions of clinical conditions documented within 12 months before the first PrEP use or HIV diagnosis...
January 2024: AIDS Patient Care and STDs
https://read.qxmd.com/read/38224306/robust-explanation-supervision-for-false-positive-reduction-in-pulmonary-nodule-detection
#23
JOURNAL ARTICLE
Qilong Zhao, Chih-Wei Chang, Xiaofeng Yang, Liang Zhao
BACKGROUND: Lung cancer is the deadliest and second most common cancer in the United States due to the lack of symptoms for early diagnosis. Pulmonary nodules are small abnormal regions that can be potentially correlated to the occurrence of lung cancer. Early detection of these nodules is critical because it can significantly improve the patient's survival rates. Thoracic thin-sliced computed tomography (CT) scanning has emerged as a widely used method for diagnosing and prognosis lung abnormalities...
January 15, 2024: Medical Physics
https://read.qxmd.com/read/38167816/tick-borne-infections-in-children-in-north-america
#24
JOURNAL ARTICLE
Emma Taylor-Salmon, Eugene D Shapiro
PURPOSE OF REVIEW: Because both incidence and awareness of tick-borne infections is increasing, review of major infections and recent advances related to their diagnosis and management is important. RECENT FINDINGS: A new algorithm, termed modified two-tier testing, for testing for antibodies to Borrelia burgdorferi, the cause of Lyme disease, has been approved and may replace traditional two-tier testing. In addition, doxycycline is now acceptable to use for treatment of and/or prophylaxis for Lyme disease for up to 21 days in children of any age...
January 4, 2024: Current Opinion in Pediatrics
https://read.qxmd.com/read/38153925/rvcnet-a-hybrid-deep-neural-network-framework-for-the-diagnosis-of-lung-diseases
#25
JOURNAL ARTICLE
Fatema Binte Alam, Prajoy Podder, M Rubaiyat Hossain Mondal
Early evaluation and diagnosis can significantly reduce the life-threatening nature of lung diseases. Computer-aided diagnostic systems (CADs) can help radiologists make more precise diagnoses and reduce misinterpretations in lung disease diagnosis. Existing literature indicates that more research is needed to correctly classify lung diseases in the presence of multiple classes for different radiographic imaging datasets. As a result, this paper proposes RVCNet, a hybrid deep neural network framework for predicting lung diseases from an X-ray dataset of multiple classes...
2023: PloS One
https://read.qxmd.com/read/38118239/recent-hiv-1-infection-in-israel-2017-2021-evaluation-of-geenius-and-hiv-1-2-combo-assays-for-identifying-recent-infection-detected-by-sedia-assay-and-assessment-of-factors-related-to-recent-infection-recent-hiv-1-infection-in-israel
#26
JOURNAL ARTICLE
Eyal Azuri, Marina Wax, Yael Gozlan, Tali Wagner, Orna Mor
BACKGROUND: Estimating HIV-1 recency of infection for incidence and local outbreaks detection usually involves specifically designed assays. Here, we established an approach to identify recent infections, estimate their rate, and assess potential risk factors. METHODS: Randomly selected HIV-1 positive samples (n = 382) collected in 2017-2021 were tested by Sedia and compared to the results of Geenius recency algorithm and the S/CO values of the HIV-1/2 Combo assay...
November 29, 2023: Journal of Clinical Virology
https://read.qxmd.com/read/38112800/childhood-community-acquired-pneumonia
#27
REVIEW
Patrick M Meyer Sauteur
Community-acquired pneumonia (CAP) is a common disease in children, and its aetiological and clinical diagnosis are challenging for physicians in both private practice and hospitals. Over the past three decades, conjugate vaccines have successfully reduced the burden of the former main causes of CAP, Streptococcus pneumoniae and Haemophilus influenzae type b. Today, viruses are by far the most commonly detected pathogens in children with CAP.  Conclusion: New insights into the aetiology and treatment of CAP in children in recent years have influenced management and are the focus of this review...
December 19, 2023: European Journal of Pediatrics
https://read.qxmd.com/read/38084521/utility-of-reverse-transcriptase-multiplex-ligation-dependant-probe-amplification-rt-mlpa-in-the-molecular-classification-of-diffuse-large-b-cell-lymphoma-dlbcl-by-cell-of-origin-coo
#28
JOURNAL ARTICLE
Nicholas Dcunha, Dhananjayan Sakhti, Elanthendral Sigamani, Jagan Chandramohan, Anu Korula, Biju George, Marie Therese Manipadam, Rekha Pai
UNLABELLED: Classifying diffuse large B cell lymphomas, not otherwise specified (DLBCL, NOS), is based on their cell-of-origin (COO) which is included in the WHO classification (2016), is essential to characterize them better in context of prognostication. While gene expression profiling (GEP) considered the gold standard and more recently, the Nanostring-based approach, classify these tumors accurately, many laboratories with limited resources and instrumentation need an alternate approach that is reliable, inexpensive, and with a reasonable turnaround...
2023: Indian Journal of Pathology & Microbiology
https://read.qxmd.com/read/38079080/myocarditis-in-athletes-risk-factors-and-relationship-with-strenuous-exercise
#29
REVIEW
Kristin J Terry, Dusty Narducci, Byron Moran, Patrick Chang, David Orlando, Bradford Bindas, Elizabeth Botto, Austin Retzloff, Daniel Esan, Eric Coris
Amidst the SARS-CoV-2 pandemic, myocarditis in athletes has demanded increased attention primarily because of the risk of sudden cardiac death. While most athletes who experience myocardial inflammation recover, extensive measures for screening and diagnosis are taken because of the possibility of cardiac necrosis, fibrosis, and remodeling. Several risk factors have been identified that may contribute to the development of this inflammatory response, predominantly a history of viral or bacterial upper-respiratory infections...
December 11, 2023: Sports Medicine
https://read.qxmd.com/read/38076411/recent-hiv-infection-and-annualized-hiv-incidence-rates-among-sexual-and-gender-minorities-in-brazil-and-peru-imprep-seroincidence-study-a-cross-sectional-multicenter-study
#30
JOURNAL ARTICLE
Thiago S Torres, Sylvia L M Teixeira, Brenda Hoagland, Kelika A Konda, Monica Derrico, Ronaldo I Moreira, Juan V Guanira, Marcos Benedetti, Sandro Nazer, Gino M Calvo, Silver Vargas, Carlos Benites, Álisson Bigolin, José Boullosa Alonso Neto, Alessandro Farias, Marcos Vinícius Guimarães Lacerda, Daila Alena Raenck Silva, Leidijany Costa Paz, José Valdez Madruga, Hector Javier Salvatierra Flores, Ginjaylan Prada Boluarte, Cesar Vidal Osco Tamayo, Hardy Teresa Castro Antezana, M Cristina Pimenta, Annick Bórquez, Paula M Luz, Beatriz Grinsztejn, Celia Landmann Szwarcwald, Carlos F Cáceres, Valdilea G Veloso
BACKGROUND: HIV incidence estimation is critical for monitoring the HIV epidemic dynamics and the effectiveness of public health prevention interventions. We aimed to identify sexual and gender minorities (SGM) with recent HIV infections, factors associated with recent HIV infection, and to estimate annualised HIV incidence rates. METHODS: Cross-sectional multicentre study in HIV testing services in Brazil and Peru (15 cities). Inclusion criteria: 18+ years, SGM assigned male at birth, not using pre-/post-exposure prophylaxis...
December 2023: Lancet Reg Health Am
https://read.qxmd.com/read/38047995/establishment-of-biliary-atresia-prognostic-classification-system-via-survival-based-forward-clustering-a-new-biliary-atresia-classification
#31
JOURNAL ARTICLE
Chen Xu, Xing Qin, Shuyang Dai, Zhen Shen, Yifan Yang, Yanlei Huang, Song Sun, Shan Zheng, Mengyun Wu, Gong Chen
OBJECTIVES: To develop a machine learning algorithm with prognosis data to identify different clinical phenotypes of biliary atresia (BA) and provide instructions for choosing treatment schemes. METHODS: Six hundred thirty-nine cases of type III BA were retrospectively collected from the Children's Hospital of Fudan University from Jan 1st , 2017 to Dec 1st , 2019 as a training dataset, and a survival-based forward clustering method, which can also be used to predict the subtype of a new patient was developed to identify BA subtypes...
December 4, 2023: Indian Journal of Pediatrics
https://read.qxmd.com/read/38024898/national-viral-hepatitis-control-program-in-india-call-for-update
#32
EDITORIAL
Pragya Pandey, Akash Roy, Ajeet Singh Bhadoria
Viral hepatitis is a serious yet manageable and preventable public health menace that infects about 3 million of people and leads to 1.1 million deaths worldwide every year. An acute episode of viral hepatitis usually subsides on its own, however, if not intervened timely, chronic infection puts people at risk of cirrhosis, liver cancer, and eventually death. In 2015, the global community allied to tackle viral hepatitis, as a result of which combating viral hepatitis target was included in the sustainable development goals (SDGs), and the World Health Organisation (WHO) constituted the first-ever global health sector strategy on viral hepatitis for 2016 to 2021 which is also renewed recently...
September 2023: Journal of Family Medicine and Primary Care
https://read.qxmd.com/read/37991957/cardiorenal-syndrome-and-covid-19
#33
JOURNAL ARTICLE
I Rudhani, N Morina, L Spahiu, G Elezi, Ah Avdulahu, Ad Avdullahu, M Berbatovci-Ukimeraj
The purpose of this paper is to analyses the cases with cardiorenal syndrome, and the ratio of cardiovascular disease and COVID-19. Prospective methods were used to conduct this research, including the period (January 2020-December 2021). Cases of patients treated at the Nephrology Clinic at the University Clinical Center of Kosovo (UCCK) have been studied. The categorical variables were analyzed with the X² test and the Fisher exact test. The study included 120 patients with acute renal disease treated at the Nephrology Clinic at the University Clinical Center of Kosovo (UCCK), of which 46 (38...
September 2023: Georgian Medical News
https://read.qxmd.com/read/37982008/a-general-framework-for-inference-on-algorithm-agnostic-variable-importance
#34
JOURNAL ARTICLE
Brian D Williamson, Peter B Gilbert, Noah R Simon, Marco Carone
In many applications, it is of interest to assess the relative contribution of features (or subsets of features) toward the goal of predicting a response - in other words, to gauge the variable importance of features. Most recent work on variable importance assessment has focused on describing the importance of features within the confines of a given prediction algorithm. However, such assessment does not necessarily characterize the prediction potential of features, and may provide a misleading reflection of the intrinsic value of these features...
2023: Journal of the American Statistical Association
https://read.qxmd.com/read/37976185/pre-exposure-prophylaxis-prep-use-history-in-people-with-antiretroviral-resistance-at-hiv-diagnosis-findings-from-new-york-city-hiv-surveillance-and-partner-services-2015-2022
#35
JOURNAL ARTICLE
Kavita Misra, Jamie S Huang, Chi-Chi N Udeagu, Lisa Forgione, Qiang Xia, Lucia V Torian
BACKGROUND: Drug resistance may be acquired in people starting HIV pre-exposure prophylaxis (PrEP) during undiagnosed infection. Population-based estimates of PrEP-related resistance are lacking. METHODS: We used New York City surveillance and partner services data to measure the effect of PrEP use (tenofovir disoproxil fumarate/tenofivir alafenamide fumarate with emtricitabine) history on baseline prevalence of M184I/V mutations in people diagnosed with HIV, 2015-2022...
November 17, 2023: Clinical Infectious Diseases
https://read.qxmd.com/read/37954545/interpretable-machine-learning-for-covid-19-an-empirical-study-on-severity-prediction-task
#36
JOURNAL ARTICLE
Han Wu, Wenjie Ruan, Jiangtao Wang, Dingchang Zheng, Bei Liu, Yayuan Geng, Xiangfei Chai, Jian Chen, Kunwei Li, Shaolin Li, Sumi Helal
The black-box nature of machine learning models hinders the deployment of some high-accuracy medical diagnosis algorithms. It is risky to put one's life in the hands of models that medical researchers do not fully understand or trust. However, through model interpretation, black-box models can promptly reveal significant biomarkers that medical practitioners may have overlooked due to the surge of infected patients in the COVID-19 pandemic. This research leverages a database of 92 patients with confirmed SARS-CoV-2 laboratory tests between 18th January 2020 and 5th March 2020, in Zhuhai, China, to identify biomarkers indicative of infection severity prediction...
August 2023: IEEE Trans Artif Intell
https://read.qxmd.com/read/37949929/establishment-and-application-of-tsdpso-svm-model-combined-with-multi-dimensional-feature-fusion-method-in-the-identification-of-fracture-related-infection
#37
JOURNAL ARTICLE
Xiaofeng Hu, Jianmin Chen, Xiaofei Zheng, Jianmei Li, Mingwei Zhou
Fracture-related infection (FRI) is one of the most common and intractable complications in orthopedic trauma surgery. This complication can impose severe psychological burdens and socio-economic impacts on patients. Although the definition of FRI has been proposed recently by an expert group, the diagnostic criteria for FRI are not yet standardized. A total of 4761 FRI patients and 4761 fracture patients (Non-FRI) were included in the study. The feature set of patients included imaging characteristics, demographic information, clinical symptoms, microbiological findings, and serum inflammatory markers, which were reduced by the Principal Component Analysis...
November 10, 2023: Scientific Reports
https://read.qxmd.com/read/37928470/prevalence-of-diagnostically-discrepant-clostridioides-difficile-clinical-specimens-insights-from-longitudinal-surveillance
#38
JOURNAL ARTICLE
Farhan Anwar, Marielle Clark, Jason Lindsey, Rachel Claus-Walker, Asad Mansoor, Evy Nguyen, Justin Billy, William Lainhart, Kareem Shehab, V K Viswanathan, Gayatri Vedantam
BACKGROUND: Clostridioides difficile Infection (CDI) is a healthcare-associated diarrheal disease prevalent worldwide. A common diagnostic algorithm relies on a two-step protocol that employs stool enzyme immunoassays (EIAs) to detect the pathogen, and its toxins, respectively. Active CDI is deemed less likely when the Toxin EIA result is negative, even if the pathogen-specific EIA is positive for C. difficile. We recently reported, however, that low-toxin-producing C. difficile strains recovered from Toxin-negative ('discrepant') clinical stool specimens can be fully pathogenic, and cause lethality in a rodent CDI model...
2023: Frontiers in Medicine
https://read.qxmd.com/read/37923974/first-report-of-leaf-spot-blight-of-camellia-oleifera-caused-by-diaporthe-mahothocarpus-in-china
#39
JOURNAL ARTICLE
Xulong Shi, Yu Zhang, Xuewen Wang, Ying Pan, Cun Yu, Jing Yang
Camellia oleifera Abel. is one of the native and important natural edible oil species in China. The cultivation of C. oleifera has vigorously increased in Guizhou Province in recent years. From June to August 2022, a severe leaf spot blight was observed on C. oleifera in Longli Plantation, with an incidence of 53.5% (n=200), which caused severe defoliation, negatively affected plant growth, and led to significant economic losses. Pale yellow and sub-circular leaf spots of 2-5 mm in diameter first appeared in the margin...
November 3, 2023: Plant Disease
https://read.qxmd.com/read/37896610/sooty-mold-detection-on-citrus-tree-canopy-using-deep-learning-algorithms
#40
JOURNAL ARTICLE
Bryan Vivas Apacionado, Tofael Ahamed
Sooty mold is a common disease found in citrus plants and is characterized by black fungi growth on fruits, leaves, and branches. This mold reduces the plant's ability to carry out photosynthesis. In small leaves, it is very difficult to detect sooty mold at the early stages. Deep learning-based image recognition techniques have the potential to identify and diagnose pest damage and diseases such as sooty mold. Recent studies used advanced and expensive hyperspectral or multispectral cameras attached to UAVs to examine the canopy of the plants and mid-range cameras to capture close-up infected leaf images...
October 17, 2023: Sensors
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