Results 71 to 80 of about 108,556 (242)

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

Dynamic Shifts in ER–Plasma Membrane Junctions Signaling Define Pro‐Metastatic N‐Glycosylation and Predict Prostate Cancer Progression

Advanced Science, EarlyView.
Prostate cancer remains a leading cause of male cancer death, yet screening cannot reliably identify aggressive disease, underscoring the need for tissue biomarkers. It is shown that primary tumors increase ER–plasma membrane junction signaling via STIM1/ORP5, whereas metastasis features their loss, Golgi dispersal, and rapid conversion of high‐mannose
Amanda J. Macke, Tania Kamal, Taylor E. Divita, Artem N. Pachikov, Chad A. LaGrange, Rajesh Ravichandran, Martha Morton, Robert Powers, Haowen Qiu, Jean‐Jack M. Riethoven, Colm Morrissey, Melinda Wojtkiewicz, Rebekah L. Gundry, Carol A. Casey, Armen Petrosyan   +14 more
wiley   +1 more source

Study the association of interleukins-8 and 39 with some biochemical variables in prostate cancer patients [PDF]

مجلة جامعة الانبار للعلوم الصرفة
Prostate cancer (PC) is a disease that primarily affects older men, and nearly one in eight men will develop it during their lifetime. The most common form occurs after the age of 50.
Sahar Hasan, Nadea Saleh
doaj   +1 more source

Toward Prostate Cancer Early Warning with a Self‐Powered Wearable Biosensing Platform Integrated with Machine Learning

Advanced Science, EarlyView.
ABSTRACT Current prostate cancer detection methods remain limited in non‐invasiveness and specificity, prompting interest in urinary biomarkers such as sarcosine. Here, we report a urine‐powered wearable platform for non‐invasive sarcosine detection as a proof‐of‐concept for decentralized early warning.
Jing Xu, Hanxiao Chen, Qichen Yuan, Liucun Yin, Yifang Tao, Hong Wang, Yuquan Xue, Delai Fu, Huan Pang, Tie Chong, Li Xue   +10 more
wiley   +1 more source

Breaking the Durability–Power Trade‐Off: Boron‐Directed Faceted O3 Cathodes for High‐Rate Sodium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Boron‐oxide‐assisted particle engineering stabilizes O3‐type layered cathodes for sodium‐ion batteries by mitigating phase transitions and lattice strain. Acting as flux and structural modifier, boron forms submicron hexagonal platelets with (003) facets and expanded Na‐layer spacing, enabling rapid Na⁺ diffusion and mechanical resilience.
Tengfei Song, Alexis Manche, Dongrui Xie, Bowen Liu, Chenglong Wu, Bo Dong, Reda Malakauskaite, Manoj Ovhal, David O. Scanlon, Emma Kendrick   +9 more
wiley   +1 more source

A Real‐Time Antifouling Multivalent Aptamer Platform for Wash‐Free Electrochemical Detection of Low‐Abundance Biomarkers in Human Plasma

Angewandte Chemie, EarlyView.
Detection of low‐abundance proteins at the point‐of‐care is key for early detection and real‐time monitoring. The clinical translation of such assays is hindered by biofouling, matrix variability, and signal instability. RT‐MagMAp assay overcomes these challenges and enables precise protein quantification in human plasma using a hierarchical assembly ...
Payel Sen, Survanshu Saxena, Zijie Zhang, Navreen Sandhu, Pranati Das, Jimmy Gu, Todd Hoare, Yingfu Li, Leyla Soleymani   +8 more
wiley   +2 more sources

Impact of obesity on serum markers of prostatic disorders: A cross-sectional study in Iraqi

Journal of Education and Health Promotion
The aim in the current research was to assess the correlation between body mass index (BMI) and two prostatic markers—total prostate-specific antigen (tPSA) and free prostate-specific antigen (fPSA).
Ziad H. Abd, Ruya A. M. Saeed, Omar F. Ammar   +2 more
doaj   +1 more source

Competition Policy and Agribusiness in the Biden Administration

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The Biden Administration pursued a set of ambitious competition policy initiatives in agriculture and agribusiness, primarily aimed at livestock and poultry supply chains, farm inputs, and food retailing. The initiatives included expanded antitrust enforcement; new US Department of Agriculture (USDA) contract regulations requiring poultry ...
James M. MacDonald
wiley   +1 more source

Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization

AIChE Journal, EarlyView.
Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed, Tao Chen, Antonio del Rio Chanona, Lorenz T. Biegler, Michael Short   +4 more
wiley   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source