EBSCO Research | Research

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A novel bidirectional LSTM deep learning approach for COVID-19 forecasting

A novel bidirectional LSTM deep learning approach for COVID-19 forecasting 2023-10-20 04:00:00

Reply to challenges and complexity in diagnosing COVID-19 (Ms. Ref. No.: AJEM33976)

Reply to challenges and complexity in diagnosing COVID-19 (Ms. Ref. No.: AJEM33976) 2023-10-20 04:00:00

Advax-CpG55.2-adjuvanted monovalent or trivalent SARS-CoV-2 recombinant spike protein vaccine protects hamsters against heterologous infection with Beta or Delta variants

Advax-CpG55.2-adjuvanted monovalent or trivalent SARS-CoV-2 recombinant spike protein vaccine protects hamsters against heterologous infection with Beta or Delta variants 2023-10-20 04:00:00

Clinical characteristics and outcomes of liver transplant recipients infected by Omicron during the opening up of the dynamic zero-COVID policy in China: a prospective, observational study

Clinical characteristics and outcomes of liver transplant recipients infected by Omicron during the opening up of the dynamic zero-COVID policy in China: a prospective, observational study 2023-10-20 04:00:00

Assembly of SARS-CoV-2 ribonucleosomes by truncated N* variant of the nucleocapsid protein

Assembly of SARS-CoV-2 ribonucleosomes by truncated N* variant of the nucleocapsid protein 2023-10-20 04:00:00