Results 31 to 40 of about 5,018,820 (150)

GBT‐SAM: A Parameter‐Efficient Depth‐Aware Model for Generalizable Brain Tumor Segmentation on mp‐MRI

open access: yesInternational Journal of Imaging Systems and Technology, Volume 36, Issue 4, July 2026.
ABSTRACT Gliomas are aggressive brain tumors that require accurate imaging‐based diagnosis, where automated segmentation plays a central role in assessing tumor morphology and guiding treatment decisions. Manual delineation of gliomas is time‐consuming and prone to variability, motivating the use of deep learning to improve consistency and alleviate ...
Cecilia Diana‐Albelda   +4 more
wiley   +1 more source

SPLHRNMTF: robust orthogonal non-negative matrix tri-factorization with self-paced learning and dual hypergraph regularization for predicting miRNA-disease associations

open access: yesBMC Genomics
MicroRNAs (miRNAs) have been demonstrated to be closely related to human diseases. Studying the potential associations between miRNAs and diseases contributes to our understanding of disease pathogenic mechanisms.
Dong Ouyang   +7 more
doaj   +1 more source

CF‐SBERTHet: Collaborative and Textual Knowledge Enhanced Semantic Graphs for Sparse Recommendations

open access: yesExpert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT Modern e‐commerce platforms face a critical challenge: delivering accurate recommendations under extreme user–item interaction sparsity, where textual context remains systematically underutilised. Existing collaborative filtering methods degrade sharply in sparse settings, while semantic approaches fail to capture collaborative patterns ...
He Ma   +7 more
wiley   +1 more source

A comparison of decision-making processes for conventional and complementary medicine in cancer patients

open access: yes, 2013
To understand the decision-making processes involved in conventional medicine and complementary medicine cancer treatment, and the role that information plays, a cross-sectional survey of cancer patients was carried out at 2 Australian cancer centres ...
Colagiuri, Ben   +2 more
core   +1 more source

Intraguild Interactions Drive the Dynamics of a Complex Community of Globally Invasive Ant Species

open access: yesMolecular Ecology, Volume 35, Issue 13, July 2026.
ABSTRACT Invasive species adversely affect biodiversity, but little is known about how ecologically similar invaders interact. Such intraguild interactions may drive non‐native community dynamics and their broader impacts on biodiversity. In native systems, intraguild interactions are widespread strong eco‐evolutionary pressures; understanding whether ...
Maximillian P. T. G. Tercel   +7 more
wiley   +1 more source

Looking for alternatives risk, reflexivity and complementary Therapies [PDF]

open access: yes, 2005
This thesis explores individuals' motivations for using complementary and alternative medicines (CAM). More specifically, the thesis explores the relationship between the use of CAM and wider social and cultural changes which have altered individuals ...
Brooks, Lauren
core  

Self-Complementary Cavitands

open access: yes, 2016
Self-Complementary ...
Adam R. Renslo (114387)   +2 more
core   +1 more source

Complementary medicine health literacy among a population of older Australians living in retirement villages : a mixed methods study [PDF]

open access: yes, 2016
Background. Older Australians are consumers of high levels of complementary medicines. The aim of this study was to examine health literacy in a population of older Australians related to their use of complementary medicine. Methods.
Barr, Kylie (R18611)   +3 more
core   +1 more source

Identifiability of points and rigidity of hypergraphs under algebraic constraints

open access: yesJournal of the London Mathematical Society, Volume 114, Issue 1, July 2026.
Abstract The identifiability problem arises naturally in a number of contexts in mathematics and computer science. Specific instances include local or global rigidity of graphs and unique completability of partially‐filled tensors subject to rank conditions.
James Cruickshank   +3 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced 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   +4 more
wiley   +1 more source

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