Results 171 to 180 of about 1,861,563 (349)
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
Cellular Identity Crisis: RD3 Loss Fuels Plasticity and Immune Silence in Progressive Neuroblastoma
Researchers discovered that therapy‐induced loss of RD3 protein in neuroblastoma triggers a dangerous shift: cancer cells become more stem‐like, invasive, and resistant to treatment while evading immune detection. RD3 loss suppresses antigen presentation and boosts immune checkpoints, creating an immune‐silent environment.
Poorvi Subramanian +7 more
wiley +1 more source
A new track for technology: Can ICT take care for healthier lifestyles? [PDF]
The paper takes a look on potential contribution of Information and Communication Technologies to abate public health challenges caused by demographics and lifestyle.
Baum, Peter
core
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
A Lattice Genome framework links geometric and process “genes” to lattice “phenotypes” via correction‐calibrated high‐throughput simulations and a growing performance database. Genome‐driven retrieval and recombination of unit cells enables component‐level, regionally tailored multi‐objective design: stress fields are programmed under constant relative
Haoyuan Deng +8 more
wiley +1 more source
Evaluating Performance in the Tuscan Health Care System. [PDF]
The Tuscan health care system strives to foster cooperation among the various organizations that provide services. Government authorities therefore believe it is important to plan and develop a transparent system capable of monitoring the economic ...
Anna Bonini +2 more
core
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
The FAK‐STAT3‐NNMT axis drives anoikis resistance in circulating tumor cells by reprogramming fatty acid oxidation. Targeting this metabolic vulnerability suppresses metastasis, untangling a key mechanism of breast cancer progression and revealing NNMT as a promising therapeutic target.
Qingchao Tong +13 more
wiley +1 more source
Foster Care Status and the Timing of Diagnosis of Fetal Alcohol Syndrome in a Medicaid Sample. [PDF]
Chatrath S +5 more
europepmc +1 more source

