Impact of word embedding models on text analytics in deep learning environment: a review.

The selection of word embedding and deep learning models for better outcomes is vital. Word embeddings are an n-dimensional distributed representation of a text that attempts to capture the meanings of the words. Deep learning models utilize multiple computing layers to learn hierarchical representations of data.

Flight of the COVID-19 patient: experience with a Wuhan evacuee: a case report.

Background: Coronavirus disease 2019, caused by severe acute respiratory syndrome coronavirus 2, was declared a global pandemic by the World Health Organization in March 2020.

Case Presentation: We report a case of a 51-year-old Chinese woman who was evacuated from Wuhan, China and diagnosed with coronavirus disease 2019 infection at a Southern California quarantine facility. Her clinical course was notable for high fevers, night sweats, productive cough, transient leukopenia, lymphopenia, thrombocytopenia, and transaminitis.

Clinical care of chimeric antigen receptor T-cell patients and managing immune-related adverse effects in the ambulatory and hospitalized setting: a review.

Chimeric antigen receptor (CAR) T-cell therapies are increasingly providing options for care of oncology patients with advanced hematologic malignancies, which has led to two US FDA approvals. However, they are often associated with significant immune related adverse events that require prompt management. These toxicities are mainly cytokine release syndrome and neurotoxicity, and can be managed in an appropriate setting when presenting to nononcologists or internists.