An in situ dual‐mode platform integrates fusogenic liposomes with localized autocatalytic DNA circuits for plasma‐derived extracellular vesicle microRNA analysis. Following membrane fusion, target miRNAs trigger feedback‐assisted LECHA amplification inside intact vesicles, generating fluorescence and electrochemical outputs. Machine learning integrates
Wenbin Li +15 more
wiley +1 more source
Hybrid Harris hawks-optimized random forest model for detecting multi-element geochemical anomalies related to mineralization. [PDF]
Sabbaghi H, Fathianpour N.
europepmc +1 more source
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia +4 more
wiley +1 more source
Predictors of return-to-work after thyroid cancer surgery based on random forest model: a cross-sectional study. [PDF]
Tang X +5 more
europepmc +1 more source
Machine‐learning‐driven transcriptomic analysis identifies FSTL3 as a key tumor‐microenvironment regulator in desmoplastic pancreatic adenocarcinoma. A cRGD‐modified liposome co‐loading gemcitabine and siFSTL3 serves as an irradiation‐triggered in situ nanovaccine. It synergizes with radiotherapy to induce ferroptosis and immunogenic cell death through
Chengyi Huang +11 more
wiley +1 more source
A hybrid fuzzy logic-Random Forest model to predict psychiatric treatment order outcomes: an interpretable tool for legal decision support. [PDF]
Hudon A.
europepmc +1 more source
Early prediction of preeclampsia from clinical, multi-omics and laboratory data using random forest model. [PDF]
Zhao Q +27 more
europepmc +1 more source
A hybrid approach for forecasting peak expiratory flow rate in asthma patients using combined linear regression and random forest model. [PDF]
Alkobaisi S +7 more
europepmc +1 more source
Distributed denial of service (DDoS) classification based on random forest model with backward elimination algorithm and grid search algorithm. [PDF]
Sawah MS +4 more
europepmc +1 more source
Stacked random forest model for colorectal cancer detection using complete blood counts. [PDF]
Luo J +13 more
europepmc +1 more source

