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A benchmark study of vision and pathology foundation models for computational pathology
Abstract To advance precision medicine in pathology, artificial intelligence (AI)-driven foundation models must generalize across diverse datasets, tissues, and clinical tasks. However, their comparative performance and generalizability in computational pathology remain incompletely characterized.
A benchmark study of vision and pathology foundation models for computational pathology
Abstract To advance precision medicine in pathology, artificial intelligence (AI)-driven foundation models must generalize across diverse datasets, tissues, and clinical tasks. However, their comparative performance and generalizability in computational pathology remain incompletely characterized.
Multivalent state transitions shape the intratumoral composition of small cell lung carcinoma
Current Issue There are no results at this time LATEST NEWS Abstract Studies to date have not resolved how diverse transcriptional programs contribute to the intratumoral heterogeneity of small cell lung carcinoma (SCLC), an aggressive tumor associated with a dismal prognosis. Here, we identify distinct and commutable transcriptional states that confer discrete functional attributes in individual SCLC tumors.
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