More than 200 metabolic enzymes, many of which are normally tasked with producing energy in the mitochondria, are also found ...
A new tool co-developed by investigators from Cedars-Sinai Health Sciences University can predict which of two available chemotherapy options for pancreatic cancer would be more effective for an ...
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AI cancer tools may be using visual shortcuts rather than true biology
New research warns that popular deep learning systems trained for cancer pathology may be relying on hidden shortcuts rather than genuine biological signals. Artificial intelligence tools are ...
The prognostic significance of concomitant statin use in cancer treatment with immune checkpoint inhibitors (ICIs) remains a subject of ongoing investigation. This study aims to clarify the prognostic ...
Researchers from the Johns Hopkins Kimmel Cancer Center and The Johns Hopkins University have created a novel database ...
When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or only MSI-positive tumors, accuracy fell substantially, revealing that the ...
Cedars Sinai tool predicts the best chemotherapy regimen for advanced pancreatic cancer using AI analysis of biopsy images.
In a development that could transform how scientists study cancer, neurodegeneration and inflammation, researchers have invented a new sensor that enables MRI machines to visualize molecular activity ...
This important study demonstrates that a peri-nuclear actomyosin network, present in some types of human cells, facilitates kinetochore-spindle attachment of chromosomes in unfavorable locations - ...
This manuscript describing the phenotypes associated with loss and gain of RVCL-S documents important findings that have practical implications. Although the data and methods are solid and support ...
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