Results 181 to 190 of about 61,185 (255)

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

Editorial: Unravelling the wildlife gut microbiome: the crucial role of gut microbiomes in wildlife conservation strategies. [PDF]

Front Microbiol
Luo H, Shen Z, Jian Y, Wang M, Luo S, Wang J, Nan L, Tang L, Rehman MU, Carbonero F.   +9 more
europepmc   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

Digital rehabilitation in a low-resource setting: lessons from building an integrated ecosystem in Burundi. [PDF]

Front Digit Health
Mapinduzi J, Jadin O, Ndacayisaba G, Van Cant J, Bonnechère B.   +4 more
europepmc   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Review: Shifts of rumen microbiota by feeding non-fibrous carbohydrates to improve cattle performance. [PDF]

Front Microbiol
Souza JM, Ribeiro PHC, Millen DD.
europepmc   +1 more source

An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification

Advanced Intelligent Systems, EarlyView.
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li, Ailing Gao, Guoxu Liu, Chunlei Chen, Yonghui Zhang, Sunkyoung Kang, M. Khosravi   +6 more
wiley   +1 more source

PROTOCOL: Evidence and Gap Map of Climate Change Adaptation Interventions for Enhancing Food Security and Livelihood in Sub-Saharan Africa. [PDF]

Campbell Syst Rev
Sarfo Ameyaw D, Danso-Mensah K, Clottey J, Nyan CP, Agyemang Oppong S, Oppong M, Badu-Ansah NE, Kaledzi D, Letsa I, Agbahoungba S.   +9 more
europepmc   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Grassland age and local adaptation shape drought resilience across semi-natural grassland populations. [PDF]

New Phytol
Jing Y, Eck JL, Kängsep P, Laaspere L, Oras M, Puura L, Tõnisson A, Torsus M, Vasar M, Wu J, Xi N, Koorem K, Prentice HC, Semchenko M.   +13 more
europepmc   +1 more source