Results 101 to 110 of about 2,606 (192)

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, Volume 13, Issue 35, 24 June 2026.
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

Decoding Aquaculture's Future: A Review of Molecular Docking and Simulation in Enhancing Growth and Disease Resistance

Aquaculture, Fish and Fisheries, Volume 6, Issue 3, June 2026.
ABSTRACT Aquaculture has overtaken capture fisheries as the main source of aquatic animal protein, marking a critical step in global food security. Yet, rapid intensification faces major challenges, including disease outbreaks, environmental degradation, and dependence on wild‐caught fish for feed.
Suvadip Ghara, Iyyappan Somasundaram, Mohd Ashraf Rather, Mukilan Aakash, Mary Divya B, Irfan Ahmad Bhat, Irfan Ahmad Khan, Vlastimil Stejskal, Elayaraja Sivaramasamy   +8 more
wiley   +1 more source

Selected papers in k-theory

, 1992
This book contains papers ranging over a number of topics relating to K-theory, including algebraic number theory, Grothendieck and Whitehead groups, group representation theory, linear algebraic groups, selfadjoint operator algebras, linear operators ...
Ivanov, Simeon
core  

Topological Graph Neural Networks: A Novel Approach for Geometric Deep Learning

Applied AI Letters, Volume 7, Issue 2, June 2026.
This graphical abstract illustrates the Topological Graph Neural Network (TopGNN) architecture. It demonstrates a parallel processing approach where an input graph is simultaneously analyzed by a standard GNN Encoder to capture local node features and by Persistent Homology to extract global topological features (like cycles and voids), visualized as a
Amarjeet, Anurag Sinha, Khalid Hussain, Wasim Ahmad Bhat, Sudhanshu Maurya, Mohammad Nadeem Ahmed, Mohammad Rashid Hussain, S. Khalid   +7 more
wiley   +1 more source

Investigating Associations Between Developmental Integration and Physiological Stress

American Journal of Biological Anthropology, Volume 190, Issue 2, June 2026.
ABSTRACT Objectives Integration, or patterns of correlation between structural elements, is of interest in diverse fields. Analysis is, however, generally limited to group‐level comparisons. This paper presents a novel combination of methods to quantify developmental integration (i.e., patterns of covariation which arise during growth) so that a ...
B. R. Wigley, P. G. Blackwell
wiley   +1 more source

Enhancing Interpretability and Explainability of Protein Function Prediction ML Model Using Explainable AI

Engineering Reports, Volume 8, Issue 6, June 2026.
This systematic review traces the evolution of protein function prediction from experimental methods through homology‐based tools, ML and DL to XAI. While deep learning models achieve state‐of‐the‐art predictive accuracy, their black‐box nature limits biological insight and clinical trust.
Aastha Katiyar, Rashmi Yadav
wiley   +1 more source

In Silico Design and Computational Characterization of Novel Chimeric Multiepitope Antigens for Mpox Serosurveillance: An Immunoinformatics Approach

Health Science Reports, Volume 9, Issue 6, June 2026.
ABSTRACT Background and Aims The Monkeypox (Mpox) virus is a zoonotic Orthopoxvirus with a global outbreak that began in 2022, with more than 132,000 confirmed cases and 1500 deaths across over 128 countries. The pandemic preparedness pipeline emphasizes the importance of diagnostic surveillance of pathogens in at‐risk populations to monitor ...
Roland Ngwese Akwelle, Robert Adamu Shey, Mary Teke Efeti, Lekeayi Nelson Acha, Gordon Takop Nchanji, Yanick Aqua Stong Tangan, Joan Amban Chick, Ntang Emmaculate Yaah, Lahngong Methodius Shinyuy, Cabirou Mounchili Shintouo, Bernis Neneyoh Yengo, Abey Blessings Ayuk, Junior Ekunidi Engarimbi, Ketura Yaje Gwei, Brinate Teke Tebo, Derrick Neba Nebangwa, Beltine Muyer Tamnjong, Luc Vanhamme, Jacob Souopgui, Vincent P. K. Titanji, Stephen Mbigha Ghogomu   +20 more
wiley   +1 more source

Studies on the number theory of orders

, 1982
Bibliography: pages 78-81.In the nineteenth century no distinction was drawn between maximal and nonmaximal orders in a numberfield. Most of the work on orders in this period was done by Dedekind and Kronecker.
Omar, Mohammed Rafiq
core  

Opportunities and challenges in protein structure prediction

Quantitative Biology, Volume 14, Issue 2, June 2026.
Abstract Deep learning methods, particularly exemplified by AlphaFold2, have revolutionized the field of protein structure prediction—an achievement recognized by the 2024 Nobel Prize in Chemistry awarded to its core developers. Despite this remarkable achievement, the broader protein folding problem is far from solved. Key challenges—each representing
Wenkai Wang, Baoquan Su, Chenxiao Xiang, Jianyi Yang   +3 more
wiley   +1 more source

Developing an Artificial Intelligence Model to Determine Misconceptions About Cell Division of Secondary School Students

European Journal of Education, Volume 61, Issue 2, June 2026.
ABSTRACT The aim of this study is to develop an AI‐based model to identify students' misconceptions about mitosis and meiosis and to evaluate their responses to open‐ended questions. The sample consisted of 400 secondary school students in a city in eastern Turkey. Two open‐ended questions with answers rated from 0 to 3 by the teacher were prepared and
Meryem Konu Kadirhanoğulları
wiley   +1 more source