Nitin Bhatheja
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View article: A machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys
A machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys Open
View article: High failure rate of ChAdOx1-nCoV19 immunization against asymptomatic infection in healthcare workers during a Delta variant surge
High failure rate of ChAdOx1-nCoV19 immunization against asymptomatic infection in healthcare workers during a Delta variant surge Open
View article: A machine learning-based approach to determine infection status in recipients of BBV152 whole virion inactivated SARS-CoV-2 vaccine for serological surveys
A machine learning-based approach to determine infection status in recipients of BBV152 whole virion inactivated SARS-CoV-2 vaccine for serological surveys Open
Data science has been an invaluable part of the COVID-19 pandemic response with multiple applications, ranging from tracking viral evolution to understanding the effectiveness of interventions. Asymptomatic breakthrough infections have bee…
View article: Validation of expert system enhanced deep learning algorithm for automated screening for COVID-Pneumonia on chest X-rays
Validation of expert system enhanced deep learning algorithm for automated screening for COVID-Pneumonia on chest X-rays Open
View article: Genomic characterization and epidemiology of an emerging SARS-CoV-2 variant in Delhi, India
Genomic characterization and epidemiology of an emerging SARS-CoV-2 variant in Delhi, India Open
Deadly surge in Delhi In the spring of 2021, Delhi, India experienced a wave of coronavirus cases that overwhelmed healthcare services despite the population showing a high level of immune positivity. Dhar et al . collated a mixture of ser…
View article: Insights from a Pan India Sero-Epidemiological survey (Phenome-India Cohort) for SARS-CoV2
Insights from a Pan India Sero-Epidemiological survey (Phenome-India Cohort) for SARS-CoV2 Open
To understand the spread of SARS-CoV2, in August and September 2020, the Council of Scientific and Industrial Research (India) conducted a serosurvey across its constituent laboratories and centers across India. Of 10,427 volunteers, 1058 …
View article: Author response: Insights from a Pan India Sero-Epidemiological survey (Phenome-India Cohort) for SARS-CoV2
Author response: Insights from a Pan India Sero-Epidemiological survey (Phenome-India Cohort) for SARS-CoV2 Open
Article Figures and data Abstract Introduction Results Discussion Materials and methods Data availability References Decision letter Author response Article and author information Metrics Abstract To understand the spread of SARS-CoV2, in …
View article: High failure rate of ChAdOx1 in healthcare workers during Delta variant surge: A case for continued use of masks post-vaccination
High failure rate of ChAdOx1 in healthcare workers during Delta variant surge: A case for continued use of masks post-vaccination Open
Immunization is expected to confer protection against infection and severe disease for vaccinees, while reducing risks to unimmunized populations by inhibiting transmission. Here, based on serial serological studies, we show that during a …
View article: Insights from a Pan India Sero-Epidemiological survey (Phenome-India Cohort) for SARS-CoV-2
Insights from a Pan India Sero-Epidemiological survey (Phenome-India Cohort) for SARS-CoV-2 Open
Summary To understand the spread of SARS-CoV2, in August and September 2020, the Council of Scientific and Industrial Research (India), conducted a sero-survey across its constituent laboratories and centers across India. Of 10,427 volunte…
View article: Validation of expert system enhanced deep learning algorithm for automated screening for COVID-Pneumonia on chest X-rays
Validation of expert system enhanced deep learning algorithm for automated screening for COVID-Pneumonia on chest X-rays Open
The coronavirus disease of 2019 (COVID-19) pandemic exposed a limitation of artificial intelligence (AI) based medical image interpretation systems. Early in the pandemic, when need was greatest, the absence of sufficient training data pre…