Results 221 to 230 of about 133,908 (301)
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
Study on the resurgence of pertussis based on a stage-structured dynamic model. [PDF]
Qiao Y, Zhao J.
europepmc +1 more source
This cross‐species study reveals that pathological hyperactivity of BNST neurons in depressive states disrupts inhibitory period and isolated spikes in the BNST‐NAc circuit. DBS achieves its antidepressant effects by precisely restoring network inhibitory periods and high‐fidelity signal transmission.
Xin Lv +12 more
wiley +1 more source
A nonlinear observer-based control strategy for hybrid energy storage systems to improve voltage disturbance rejection in DC microgrids. [PDF]
Ihammouchen S +7 more
europepmc +1 more source
Understanding protein sequence–function relationships remains challenging due to poorly defined motifs and limited residue‐level annotations. An annotation‐agnostic framework is introduced that segments protein sequences into “protein words” using attention patterns from protein language models.
Hedi Chen +9 more
wiley +1 more source
A biomimetic Prussian White nanoparticle (PW) is engineered to achieve long‐term local retention and orchestrate immunometabolic‐epigenetic remodeling for sciatic nerve regeneration. PW directly targets hexokinase 2 to suppress glycolysis, thereby elevating α‐ketoglutarate and driving Kdm4a/b‐mediated demethylation of H3K9me3.
Wenying Xu +6 more
wiley +1 more source
Viral Immunity in Immunoglobulin Products: Global Immunity Debt and Autoimmunity in the Postpandemic Era. [PDF]
Lindahl H +4 more
europepmc +1 more source
This manuscript presents the WDMS platform, an AI‐assisted, self‐powered wearable dual‐mode sensor for tele‐neurology. It integrates a contact–separation TENG insole with stretchable polyurethane optical‐fiber strain sensors to synchronously track plantar pressure and lower‐limb muscle deformation.
Tianliang Li +12 more
wiley +1 more source

