A protein identified nearly 40 years ago for its ability to stimulate the production of red blood cells plays a surprising, ...

Multi-modal data integration of single-nuclei RNA and ATAC sequencing with spatial transcriptomics, provides new molecular insights into gene regulatory networks driving cell state transitions in ...

Background Fibrolamellar carcinoma (FLC), a rare and fatal liver cancer lacking effective drug therapy, is driven by the DNAJ-PKAc fusion oncoprotein. However, the underlying mechanism of DNAJ-PKAc’s ...

Researchers at UT Southwestern developed an AI model that uses histopathological slide images to predict which kidney cancer patients will benefit from anti-angiogenic therapy. This deep learning ...

Proteomics profiling of a pre-metastatic colorectal cancer cohort identifies four proteomics-based subtypes and highlights ...

Lunit (KRX:328130.KQ), a leading provider of AI-powered solutions for cancer diagnostics and therapeutics, today announced ...

New indications discovered by applying active machine learning and using samples from the company’s vast biobank of live-cell tumors specimens Builds upon Predictive’s biomarker discovery ...

On liver histology, SEFA-6179 pre-treatment led to greater polarization of M1/pro-inflammatory macrophages to an M2/anti-inflammatory phenotype compared to vehicle. SEFA-6179 is currently in Phase II ...

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International Classification of Diseases codes or liver histology) conferred a pooled HR of 1.45 (95% CI 1.31 to 1.61) for fatal and nonfatal CVD events, a risk that appeared to increase further with ...

$ git clone https://github.com/idso-fa1-pathology/slide-deid $ cd slide-deid $ pip install -r requirements.txt $ python -m PyInstaller --onefile --noconsole SlideDeID ...

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