Results 111 to 120 of about 302,661 (226)
Sigmoid volvulus and incidental enterobiasis in a young adult: a case report. [PDF]
Alshahrani MYM +5 more
europepmc +1 more source
[Inside of the whirl test machine]
Photograph of the inside of the whirl test machine during the whirl testing of the XH-40 ...
core
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
Caught in the Whirl: A Case Report of Midgut Volvulus in an Elderly Patient. [PDF]
Khurana S, Lu T, Dangberg C, Lewis K.
europepmc +1 more source
Negative potential energy content analysis in cracked rotors whirl response. [PDF]
Al-Shudeifat MA, Alhammadi FK.
europepmc +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Radiologic Hallmarks of Colonic Volvulus: A Narrative Review. [PDF]
López Saborio GM +5 more
europepmc +1 more source
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi +3 more
wiley +1 more source
Strangulated Adhesive Internal Hernia in a Virgin Abdomen: A Rare Cause of Closed-Loop Obstruction in an Elderly Patient - A Case Report. [PDF]
Farhat H, Nasr R, Khalifeh G.
europepmc +1 more source
Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong +4 more
wiley +1 more source

