Results 121 to 130 of about 90,813 (262)

GAIL: An interactive webserver for inference and dynamic visualization of gene-gene associations based on gene ontology guided mining of biomedical literature.

PLoS ONE, 2019
In systems biology, inference of functional associations among genes is compelling because the construction of functional association networks facilitates biomarker discovery.
Daniel Couch, Zhenning Yu, Jin Hyun Nam, Carter Allen, Paula S Ramos, Willian A da Silveira, Kelly J Hunt, Edward S Hazard, Gary Hardiman, Andrew Lawson, Dongjun Chung   +10 more
doaj   +1 more source

MSL: Facilitating automatic and physical analysis of published scientific literature in PDF format [version 3; referees: 1 approved, 3 approved with reservations]

F1000Research, 2018
Published scientific literature contains millions of figures, including information about the results obtained from different scientific experiments e.g. PCR-ELISA data, microarray analysis, gel electrophoresis, mass spectrometry data, DNA/RNA sequencing,
Zeeshan Ahmed, Thomas Dandekar
doaj   +1 more source

Tools for text mining over biomedical literature

, 2006
This poster describes OntoGene: an environment, based on a deep-linguistic parser, aimed at supporting the process of Text Mining from Biomedical Scientific Literature. We will illustrate in particular the Relation Extraction component and the development support facilities.
Rinaldi, Fabio, Schneider, G, Kaljurand, K, Hess, M   +3 more
openaire   +1 more source

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
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, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
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

Adverse Drug Reaction Classification With Deep Neural Networks [PDF]

, 2016
We study the problem of detecting sentences describing adverse drug reactions (ADRs) and frame the problem as binary classification. We investigate different neural network (NN) architectures for ADR classification.
He, Yulan, Huynh, Trung, Rüger, Stefan, Willis, Alistair   +3 more
core   +1 more source

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

Mining Biomedical Texts for Pediatric Information

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021
Natalia Khuri, Deepti Garg, Tian Yun
openaire   +1 more source