Publications by authors named "Bharathwaj Raghunathan"
Article Synopsis
- Immune checkpoint inhibitors (ICIs) significantly improve cancer treatment but can lead to immune-related adverse events (irAEs), and understanding these events in real-world settings is essential for evaluating their risks and benefits.
- This study involved analyzing health records of 9,290 patients who received ICIs from 2005 to 2021 to compare the identification of irAEs using traditional diagnosis codes versus advanced natural language processing techniques known as augmented curation (AC).
- The findings revealed that AC identified 70% of patients with serious irAEs (myocarditis, encephalitis, pneumonitis, and severe skin reactions) more accurately than diagnosis codes, indicating more patients needed corticosteroids or discontinued ICIs due to
Highly transmissible or immuno-evasive SARS-CoV-2 variants have intermittently emerged, resulting in repeated COVID-19 surges. With over 6 million SARS-CoV-2 genomes sequenced, there is unprecedented data to decipher the evolution of fitter SARS-CoV-2 variants. Much attention has been directed to studying the functional importance of specific mutations in the Spike protein, but there is limited knowledge of genomic signatures shared by dominant variants.
View Article and Find Full Text PDFThe emergence of a heavily mutated SARS-CoV-2 variant (Omicron; Pango lineage B.1.1.
View Article and Find Full Text PDFThe COVID-19 pandemic demands assimilation of all biomedical knowledge to decode mechanisms of pathogenesis. Despite the recent renaissance in neural networks, a platform for the real-time synthesis of the exponentially growing biomedical literature and deep omics insights is unavailable. Here, we present the nferX platform for dynamic inference from over 45 quadrillion possible conceptual associations from unstructured text, and triangulation with insights from single-cell RNA-sequencing, bulk RNA-seq and proteomics from diverse tissue types.
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