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
Leveraging 3D bioprinting, this study establishes patient‐derived in vitro models of intrahepatic cholangiocarcinoma. These models faithfully recapitulate the histopathology, molecular profiles, and genomic characteristics of the original patient tumors.
Yuce Lu +23 more
wiley +1 more source
A Novel Multidimensional Fidelity Framework for Cardiac Surgery Simulation: A Thematic Literature Review. [PDF]
Alharbi MA +4 more
europepmc +1 more source
We propose an optical ferroelectric field‐effect transistor, composed of a MoS2/CIPS heterostructure, demonstrates the feasibility of all‐optical nonvolatile memory, neuromorphic computing, and logic‐in‐memory operations. The device exhibits reversible light‐controlled memory states, retina‐like synaptic plasticity, and wavelength‐selective ...
Jingjie Niu +7 more
wiley +1 more source
Modeling person guessing as a random effect: a Bayesian approach of the two-parameter logistic model. [PDF]
Sideridis G, Alghamdi M.
europepmc +1 more source
Forecasting Root Rot Disease through Predictive Microbial Functional Profiling
Predicting soil‐borne disease moves beyond observation with a framework that elevates microbial functional genes into reliable forecasting biomarkers. By coupling targeted qPCR assays for core stress‐response genes with machine learning, this method detects root rot risks in pre‐symptomatic soils with over 80% accuracy.
Chuan You +11 more
wiley +1 more source
Reading, Fast and Slow: Characterizing Radiologists' Visual Search Through Abdominal CT for Detecting Hepatic Metastases. [PDF]
Pillai PS +11 more
europepmc +1 more source
Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu +10 more
wiley +1 more source
ViSQA: A benchmark dataset and baseline models for Vietnamese spoken question answering. [PDF]
Minh LT +5 more
europepmc +1 more source
Light‐Harvesting Photothermal Hotspots Enabled by NIR Scattering‐Absorption Coupling
By coupling the broadband scattering of nanodiamonds with the plasmonic absorption of gold nanostars, this work proposes a novel strategy for the active modulation of photon transport. This strategy creates localized photothermal hotspots in turbid media and achieves a supra‐additive heating efficiency, thereby providing a universal platform for low ...
Zebin Wu +17 more
wiley +1 more source

