Results 161 to 170 of about 16,769 (297)

Dissecting the Ecological Structure of Health and Disease in the Global Gut Microbiome

open access: yesAdvanced Science, EarlyView.
We introduce Wiredancer, a framework that identifies three continuous ecological factors of the gut microbiota. These factors exhibit distinct patterns across health and disease, jointly capturing disrupted ecological stability and offering a new perspective for precision diagnostics and therapeutic strategies.
Baoyuan Zhu   +19 more
wiley   +1 more source

Weakly supervised learning analysis of Aβ plaque distribution in the whole rat brain. [PDF]

open access: yesFront Neurosci, 2022
Chen Z   +7 more
europepmc   +1 more source

Time‐Multiplexed Organic Electrochemical Transistor for Saliva‐Based Rapid Detection of Viral Proteins

open access: yesAdvanced Science, EarlyView.
A time‐multiplexed nanobody‐functionalized organic electrochemical transistor enables rapid and sensitive detection of three respiratory viral proteins from saliva. Sequentially addressed multi‐gate electrodes on a shared channel achieve around 1 fm detection within 15 min without sample preprocessing. Clinical validation demonstrates high specificity,
Tianrui Chang   +13 more
wiley   +1 more source

Identifying Rare and Subtle Behaviors: A Weakly Supervised Joint Topic Model [PDF]

open access: yes, 2011
Gong, SG   +7 more
core   +1 more source

Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning

open access: yesTransactions of the Association for Computational Linguistics, 2021
Mengqiu Wang, Christopher D. Manning
doaj   +1 more source

Weakly supervised learning and interpretability for endometrial whole slide image diagnosis. [PDF]

open access: yesExp Biol Med (Maywood), 2022
Mohammadi M   +10 more
europepmc   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

open access: yesAdvanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju   +5 more
wiley   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

open access: yesAdvanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy