Results 71 to 80 of about 125,655 (260)
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
FUNÇÃO ENDÓCRINA, HOMEOSTASE DA GLICOSE E RESISTÊNCIA À INSULINA APÓS TRANSPLANTE DE PÂNCREAS
O objetivo do transplante de pâncreas é o restabelecimento da homeostase da glicose para prevenir o aparecimento ou a progressão de complicações crônicas do diabetes e melhorar a qualidade de vida.
Marcelo Junges Hartmann +8 more
doaj +1 more source
Buried Unstrained Germanium Channels: A Lattice‐Matched Platform for Quantum Technology
ABSTRACT Strained germanium (ε$\varepsilon$‐Ge) and strained silicon (ε$\varepsilon$‐Si) buried quantum wells have enabled advanced spin‐qubit quantum processors. However, in the absence of suitable lattice‐matched substrates, ε$\varepsilon$‐Ge and ε$\varepsilon$‐Si are deposited on defective, metamorphic SiGe buffers, which may impact device ...
Davide Costa +10 more
wiley +1 more source
The mammalian TGFβ interacts with ubiquitously expressed TGFBR1 and TGFBR2, and current TGFβ‐targeting agents are non‐cell‐selective. The cooperative interaction of the modular parasite TGFβ antagonist with multiple host (co‐)receptors empowers the design of TGM chimeras and bispecific antibodies that activate or inhibit TGFβ signaling in a cell ...
Maarten van Dinther +13 more
wiley +1 more source
The electrolyte engineering of introducing tetrakis(4‐N, N‐dimethylaminophenyl)porphyrin (TDMAP) is designed to modulate Li+ solvation structure and solid electrolyte interphase, where the interaction with PF₆− anions is altered (Li+–NMe2–PF₆−). Consequently, the cells with optimal additive concentration achieve high Coulombic efficiency (∼99%), and ...
Pooria Afzali +5 more
wiley +1 more source
TDP‐43 Aggregation: The Healthy‐Toxic Balance of the Prion‐Like Domain
TDP‐43 function relies on a delicate balance between reversible phase‐separated states and irreversible aggregation. Under physiological conditions, TDP‐43 forms dynamic droplets and oligomers that support normal cellular functions. In pathological contexts, this balance shifts toward aberrant aggregation, leading to toxic species.
Luca Zangrando +2 more
wiley +1 more source
A CMOS‐compatible ferroelectric transistor harnesses the interplay between stable gate polarization memory and volatile non‐quasi‐static channel charge dynamics to emulate how biological synapses regulate their own plasticity. This brain‐inspired dual‐memory mechanism, realized in a single device, enables a physical reservoir computer that solves ...
Yifan Wang +8 more
wiley +1 more source
Teaching point: Consider atypical PRES and a vascular work‑up in brainstem edema, especially in the setting of severe hypertension.
Lucas Dekesel +2 more
doaj +1 more source
The introduction of high‐sublimation‐temperature additives during the mechanosynthesis of FAPbI3 powders enables the single‐source evaporation of phase‐pure, additive‐free FAPbI3 thin films of high optoelectronic quality. The additive‐engineered deposition process yields photovoltaic devices with stabilized efficiencies exceeding 18% for an active ...
Zongbao Zhang +13 more
wiley +1 more source
A Critical Assessment of Bonding Descriptors for Predicting Materials Properties
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik +6 more
wiley +1 more source

