Results 191 to 200 of about 131,089 (321)

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
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, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Discovery of the most compact 3+1-type quadruple star system TIC 120362137. [PDF]

Nat Commun
Borkovits T, Rappaport SA, Chen HL, Torres G, Mitnyan T, Kostov VB, Powell BP, Pribulla T, Zasche P, Bíró IB, Csányi I, Czavalinga DR, Dencs Z, Garai Z, Kolář J, Cagaš P, Henzl Z, Kaye T, Kučáková H, Mašek M, Uhlař R.   +20 more
europepmc   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
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, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Isotropic fluid structures and role of non-metricity on their dynamics governed by an electric charge: A theoretical study. [PDF]

PLoS One
Naseer T, Sharif M, Waqas M, Andrade J, Emara A.   +4 more
europepmc   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source

Information-Entropy Analysis of Stellar Evolutionary Stages with Application to FS CMa Objects. [PDF]

Entropy (Basel)
Zhanabaev Z, Akniyazova A, Ashimov Y.
europepmc   +1 more source

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, EarlyView.
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, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source

Quantitative Analysis of Polymers by MALDI-TOF Mass Spectrometry: Correlation Between Signal Intensity and Arm Number. [PDF]

J Mass Spectrom
Dalgic MS, Kumar S, Weidner SM.
europepmc   +1 more source

Compact binary stars and their significance in the theory of stellar evolution.

, 1972
D. Y. Martynov
semanticscholar   +1 more source

Orbital parameters estimation for compact binary stars

Most stars in the Galaxy are found in multiple systems of two or more stars orbiting together. Two stars orbiting around their centre of mass are called binary stars. In close binary stars, the evolution of one star affects its companion and evolutionary expansion of one star allows for mass exchange between the components.
openaire