Tag: tumor microenvironment analysis

A new Frontiers in Oncology editorial surveys thirteen studies using artificial intelligence and molecular data to advance cancer diagnosis, prognosis ...

A Science Bulletin review outlines how multimodal artificial intelligence integrating molecular, cellular, and clinical data could refine immunotherapy decisions while ...

A retrospective study of 115 surgically treated patients found that cross-phase MRI radiomics achieved an AUC of 0.850 for predicting ...

A new reproducible benchmark called REACH evaluates ten computational methods for detecting rare malignant cells in single-cell RNA sequencing data, ...

A new interpretable AI model called PRISM combines pathology slides with transcriptomic pathway data to sharpen progression-risk prediction in early-stage ...

In a finding that blurs the line between microbiology and artificial intelligence, researchers have shown that deep learning models can ...

A new two-step machine-learning framework called CLIMB and CLIFF computationally deconvolves bulk RNA-seq and drug sensitivity data into cell-type and ...

Japanese researchers have built a microfluidic chip that uses human macrophages as living biological transducers, converting unknown cancer-cell-derived signals into ...

Researchers built a machine learning gene signature combining RNA modification and programmed cell death biology that predicts survival and immunotherapy ...

Cancer researchers have gained an ambitious new way to interrogate the ecosystem surrounding a tumor: a cloud-based platform that combines ...