Results 241 to 250 of about 14,062,463 (376)
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima+6 more
wiley +1 more source
Predicting RNA Structure Utilizing Attention from Pretrained Language Models. [PDF]
Papazoglou I+3 more
europepmc +1 more source
Small extracellular vesicles are a promising source of diagnostic molecules. We conducted a comprehensive study, including transcriptome profiling and RT‐qPCR validation on large cohorts of samples. Diagnostic panels enabling sensitive detection of colorectal cancer and precancerous lesions were established. Some molecules were differentially expressed
Petra Vychytilova‐Faltejskova+26 more
wiley +1 more source
Optimizing visual data retrieval using deep learning driven CBIR for improved human machine interaction. [PDF]
P A, R G.
europepmc +1 more source
Stemness properties, including quiescence, self‐renewal, and chemoresistance, are closely associated with leukemia relapse. Here, we demonstrate that DNA damage‐inducible transcript 4 (DDIT4) is induced in the hypoxic bone marrow niche and is essential for maintaining the stemness of AML1‐ETO9a leukemia cells.
Yishuang Li+12 more
wiley +1 more source
Transformer attention fusion for fine grained medical image classification. [PDF]
Badar D+5 more
europepmc +1 more source