Results 121 to 130 of about 344,631 (300)

The Human Oral Microbiome Database: a web accessible resource for investigating oral microbe taxonomic and genomic information [PDF]

, 2010
The human oral microbiome is the most studied human microflora, but 53% of the species have not yet been validly named and 35% remain uncultivated. The uncultivated taxa are known primarily from 16S rRNA sequence information.
Baranova, Oxana V., Chen, Tsute, Dewhirst, Floyd E., Izard, Jacques, Lakshmanan, Abirami, Yu, Wen-Han   +5 more
core   +1 more source

Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence

Advanced Science, EarlyView.
Individual responses to food vary dramatically, challenging traditional dietary advice. This review explores how the unique genetic makeup, gut microbiome, and brain activity shape host metabolic health. We examine how artificial intelligence integrates these multimodal data to predict individualized dietary needs, moving beyond one‐size‐fits‐all ...
Yuanqing Fu, Ke Zhang, Zelei Miao, Gaoyi Yang, Yujing Huang, Ju‐Sheng Zheng   +5 more
wiley   +1 more source

Investigating Endemic Alpine Communities of Papaver corona-sancti-stephani and Cerastium lerchenfeldianum in the Southern Carpathians

Diversity
The high-elevation calcareous screes of the Southern Carpathians are ecologically important habitats characterised by extreme environmental conditions. These habitats support specialised plant communities, including endemic and relict species, shaped by ...
Claudia Biță-Nicolae, Daniela Mogîldea, Oliviu G. Pop   +2 more
doaj   +1 more source

Leptocybe invasa Fisher & La Salle, 2004 and Ophelimus maskelli Haliday, 1844 - two new records of gall forming Eulophidae from Malta (Hymenoptera, Chalcidoidea) [PDF]

, 2012
The Eulophidae (Hymenoptera, Chalcidoidea) currently accommodates more than 4,000 described species worldwide in some 300 genera (noyES, 2003). In Europe, the family is represented by about 1,100 species (GAuld & Bolton, 1988).
Mifsud, David
core  

Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS

Advanced Science, EarlyView.
ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi, Di Tang, Johan Malmström, Yasaman Karami, Hamed Khakzad   +4 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Phylogenetic placement of the mysterious Malagasy genus Ambrella H. Perrier (Vandeae, Orchidaceae)

Frontiers in Plant Science
IntroductionThe monotypic genus Ambrella H. Perrier, endemic to Madagascar and traditionally placed within the subtribe Angraecinae, has long poses a challenge in terms of its phylogenetic classification.MethodsTo clarify the evolutionary position of ...
Sławomir Nowak, Marcin Górniak, Natalia Olędrzyńska, Przemysław Baranow, Dariusz L. Szlachetko   +4 more
doaj   +1 more source

A survey of clustering methods [PDF]

, 1989
In this paper, I describe a large variety of clustering methods within a single framework. This paper unifies work across different fields, from biology (numerical taxonomy) to machine learning (concept formation).
Gennari, John H.
core  

Forecasting Root Rot Disease through Predictive Microbial Functional Profiling

Advanced Science, EarlyView.
Predicting soil‐borne disease moves beyond observation with a framework that elevates microbial functional genes into reliable forecasting biomarkers. By coupling targeted qPCR assays for core stress‐response genes with machine learning, this method detects root rot risks in pre‐symptomatic soils with over 80% accuracy.
Chuan You, Peng Ren, Ying Guan, Kai Gong, Zhen Hua, Wuxian Zhou, Xinlan Mei, Yikui Wang, Xiaofang Wang, Yangchun Xu, Qirong Shen, Zhong Wei   +11 more
wiley   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source