Results 91 to 100 of about 73,601 (288)
Attention Gated Networks: Learning to Leverage Salient Regions in Medical Images [PDF]
We propose a novel attention gate (AG) model for medical image analysis that automatically learns to focus on target structures of varying shapes and sizes.
Glocker, Ben +6 more
core +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
The enhancer of PTF1A mutation causes developmental defects of the pancreas. This condition can result in insulin-requiring diabetes and exocrine pancreatic insufficiency.
Erdal Kurnaz +3 more
doaj +1 more source
Evidence-Based Detection of Pancreatic Canc [PDF]
This study is an effort to develop a tool for early detection of pancreatic cancer using evidential reasoning. An evidential reasoning model predicts the likelihood of an individual developing pancreatic cancer by processing the outputs of a Support ...
Chandratre, Rajeshwari Deepak
core +1 more source
This review surveys nanoparticle‐based strategies to enhance adoptive cell therapy, particularly CAR‐T cell approaches, in solid tumor treatment. It describes how nanoparticles can improve tumor immunogenicity and T‐cell infiltration while reducing toxicity, and how they enable in vivo CAR‐T cell generation.
Erica Frostegård +19 more
wiley +1 more source
Background Regenerative medicine and tissue engineering are promising approaches for organ transplantation. Extracellular matrix (ECM) based scaffolds obtained through the decellularization of natural organs have become the preferred platform for organ ...
Huajun Yu +8 more
doaj +1 more source
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng +17 more
wiley +1 more source
ABSTRACT Despite the transformative impact of cancer immunotherapies such as immune checkpoint blockade, durable clinical responses remain limited. Increasing evidence indicates that antitumor immunity is governed not only by the tumor microenvironment, but also by systemic immune regulation mediated by peripheral immune organs. Among these, the spleen
Yuehua Liu, Xiaoqian Nie, Xiaofei Gao
wiley +1 more source
CellFreeGMF traces plasma cfRNA to likely originating cell types by integrating single‐cell atlases with graph‐regularized matrix factorization. The method decomposes cfRNA profiles into sample–cell contributions to reconstruct pseudo single‐cell expression.
Wenxiang Zhang +9 more
wiley +1 more source
Modeling the Error of the Medtronic Paradigm Veo Enlite Glucose Sensor
Continuous glucose monitors (CGMs) are prone to inaccuracy due to time lags, sensor drift, calibration errors, and measurement noise. The aim of this study is to derive the model of the error of the second generation Medtronic Paradigm Veo Enlite (ENL ...
Lyvia Biagi +4 more
doaj +1 more source

