Results 81 to 90 of about 44,356 (288)
Artificial neural networks modeling gene-environment interaction
Background Gene-environment interactions play an important role in the etiological pathway of complex diseases. An appropriate statistical method for handling a wide variety of complex situations involving interactions between variables is still lacking,
Günther Frauke +2 more
doaj +1 more source
This study identifies a unique physical signature of colorectal cancer in younger adults: their tissues are mechanically stiffer than those in older patients with the same cancer. Furthermore, stromal remodeling in early‐onset colorectal cancer promotes epithelial mechanotransduction and proliferation, showing how mechanical alterations in the tissue ...
Nicole C. Huning +18 more
wiley +1 more source
ABSTRACT The blood‐brain barrier (BBB) renders the delivery of nanomedicine in the brain ineffective and the detection of circulating disease‐related DNA from the brain unreliable. Here, we demonstrate that microbubble‐enhanced focused ultrasound (MB‐FUS) mediated BBB opening, supported by large‐data models predict sonication regimens for safe and ...
Hohyun Lee +17 more
wiley +1 more source
Background Malakoplakia is a chronic inflammatory disease characterized by tissue infiltrates of large granular macrophages containing distinctive intracytoplasmic inclusions termed Michaelis-Gutmann (MG) bodies.
Andrew Mitchell, Alexandre Dugas
doaj +1 more source
Multi‐View Biomedical Foundation Models for Molecule‐Target and Property Prediction
Molecular foundation models can provide accurate predictions for a large set of downstream tasks. We develop MMELON, an approach that integrates pre‐trained graph, image, and text foundation models and validate our multi‐view model on over 120 tasks, including GPCR binding.
Parthasarathy Suryanarayanan +17 more
wiley +1 more source
A rare case of sigmoid colon cancer in which the lower limbs received collateral blood flow from the inferior mesenteric artery owing to peripheral artery disease [PDF]
Kyoichi Kihara +9 more
openalex +1 more source
Machine learning‐assisted surface‐enhanced Raman spectroscopy analysis of exosomal sialic acid for ovarian cancer diagnosis, as well as independent monitoring of exosomal sialic acid expression levels across different treatment periods, reveals a potential correlation with treatment response.
Lili Cong +6 more
wiley +1 more source
Diagnosis of bowel diseases is often difficult and time consuming since it is not always possible to obtain adequate information by the conventional diagnostic methods to set up a diagnosis and exclude nongastrointestinal causes of symptoms.
Tomečková Vladimíra +11 more
doaj +1 more source
Prospective study of primary anastomosis following sigmoid resection for suspected acute complicated diverticular disease [PDF]
A W Gooszen +6 more
openalex +1 more source
SAGE is a unified framework for spatial domain identification in spatial transcriptomics that jointly models tissue architecture and gene programs. Topic‐driven gene selection (NMF plus classifier‐based scoring) highlights spatially informative genes, while dual‐view graph embedding fuses local expression and non‐local functional relations.
Yi He +5 more
wiley +1 more source

