Results 221 to 230 of about 1,036,303 (287)
Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)
ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang +14 more
wiley +1 more source
Large-scale protein conformational transitions revealed by weighted ensemble simulations and EPR. [PDF]
Palit S +6 more
europepmc +1 more source
Hepatocyte BDNF Acts as a Novel Immune Checkpoint to Restrain TLR4‐Mediated Acute Hepatitis
This study identifies hepatocyte‐derived BDNF as an endogenous TLR4 antagonist that alleviates acute hepatitis. BDNF is downregulated in hepatocytes via REST‐mediated transcriptional repression during ALI/ALF. Mechanistically, BDNF binds to TLR4 on macrophages to suppress inflammation.
Weiwei Zhu +15 more
wiley +1 more source
Projected intensification of precipitation extremes in the Kosi Basin using CMIP6 models. [PDF]
Singh AK, Roshni T, Singh V.
europepmc +1 more source
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han +10 more
wiley +1 more source
Intent-driven LLM ensemble planning for flexible multi-robot manipulation. [PDF]
Erdogan C +4 more
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
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
Integrating biological and machine learning models for rainbow trout growth: Balancing accuracy and interpretability. [PDF]
Fulton L, Lyu P.
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
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 +4 more
wiley +1 more source
The 3K‐AP system forms infinite supramolecular fibrils that undergo controlled degradation into shorter fragments upon enzymatic hydrolysis. Multitechnique imaging reveals a stepwise bacteriolytic mechanism involving bacterial entrapment, disassembly into lethal constructs, and associated extracellular vesicle release, highlighting the dynamic ...
Sohini Chakraborty +21 more
wiley +1 more source

