Results 171 to 180 of about 363 (203)
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
Whole‐genome analysis of 1,054 chickens reveals three ancestral sources (NWC, SYA, and SHF) with distinct temporal entry patterns into the Tibetan Plateau. Route‐specific selection scans, calibrated against a demographic null, suggest complementary functional enrichments—vascular homeostasis (NWC), calcium signaling and cardiac adaptation (SYA), and ...
Zongyi Zhao +7 more
wiley +1 more source
A nanoparticle‐cluster‐on‐mirror (NPcoM) serves as a functionally deterministic sub‐nanocavity that emulates picocavities, enabling extreme light–matter interactions and polaritonic phenomena. ABSTRACT Pushing nanoscale optical confinement to its ultimate limits defines the regime of nano‐cavity quantum electrodynamics (nano‐cQED), where light‐matter ...
Huatian Hu +10 more
wiley +1 more source
ABSTRACT Hydrogen sulfide (H2S) can be transformed into hydrogen (H2) through several chemical and catalytic processes, offering a promising route for both waste treatment and clean H2 production. This colorless, flammable, and toxic gas is found abundantly in swamps, volcanoes, hot springs, sewages, other natural gas fields, and even in refineries and
Divyesh Cirikonda +4 more
wiley +1 more source
This work introduces a theragenerative 3D‐printed biodegradable stent with Janus nanoarchitecture for spatially controlled vascular healing. A luminal tantalum ion–implanted surface accelerates endothelialization and hemocompatibility, while an abluminal sirolimus/poly‐L‐lactic acid–tantalum layer provides sustained drug release and suppresses smooth ...
Jong Hwa Seo +19 more
wiley +1 more source
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv +11 more
wiley +1 more source
Ethical Precision in Nanoscale Brain Interfacing
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley +1 more source
Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale +6 more
wiley +1 more source
S4.3 and hereditarily extremally disconnected spaces
AbstractThe modal logic S4.3 defines the class of hereditarily extremally disconnected spaces (HED-spaces).
Guram Bezhanishvili +2 more
exaly +5 more sources

