Results 131 to 140 of about 74,667 (269)
This review examines emerging combination immunotherapy strategies tailored to distinct tumor microenvironments and highlights next‐generation biomarkers that guide response prediction and treatment personalization. It integrates lessons from unsuccessful trials, addresses toxicity challenges, and outlines approaches for early biomarker discovery and ...
Asmita Pandey +6 more
wiley +1 more source
On the Degree of Convergence of Harmonic Polynomials to Harmonic Functions [PDF]
Walsh, J. L. +2 more
openaire +2 more sources
In fibrotic distal lung regions, CD66c+ basal cells emerge as a pathological state. Using human distal lung organoids, this study identifies CD66c+ basal cells as a pro‐fibrotic state arising through transdifferentiation from secretory, AT2, and basal cells.
Kaijun Lin +13 more
wiley +1 more source
Data harmonization processes of cancer data into the observational medical outcomes partnership common data model. [PDF]
Nada IP, Bonacina S.
europepmc +1 more source
We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang +11 more
wiley +1 more source
NeuroStream: an interactive platform for exploratory visualization and harmonization of multicohort brain MRI data. [PDF]
Cho M, Park BS, Nam HR, Jeon JP, Kim SC.
europepmc +1 more source
The inhibitory immune checkpoints HLA‐G and CD47 are expressed on certain tumor types and inhibit immune cells in the tumor microenvironment. DSP216 binds specifically to cancer cells expressing both HLA‐G and CD47, and blocks their inhibitory signaling.
Lisa J. Jacob +12 more
wiley +1 more source
Impact of ComBat harmonization on MRI radiomic-analysis of nasopharyngeal carcinoma: a dual-center study. [PDF]
Pei W +7 more
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Pharmaceutical regulatory harmonization in Africa: a scoping review of policy design, implementation approaches, and outcomes. [PDF]
Niyibizi J +4 more
europepmc +1 more source

