Random Forest Predicts Human Ratings of Creative Stories Using Very Small Training Samples. [PDF]
Behav Sci (Basel)Barbot B, Kiekens TC.
europepmc +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 +4 more
wiley +1 more source
Acute respiratory infection (COVID-19) risk prediction in travelers: A random forest model. [PDF]
Infect Dis ModelYu J, Yu H, Wang Y, Zeng Q.
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Mapping the “Supply–Demand–Flow” of Ecosystem Services for Ecosystem Management in China
Advanced Science, EarlyView.This study develops a “supply–demand–flow” framework clarifies how ecosystem services move between regions by distinguishing potential and actual supply and demand. Using integrated biophysical–socioeconomic modeling, nine services in China were mapped.
Yikun Zhang +3 more
wiley +1 more source
AI Characterisation of Discordance Profiles Between Stress Electrocardiogram and Myocardial Tomoscintigraphy Using Random Forest XGBoost and SHAP. [PDF]
Med Devices (Auckl)El Maadaoui Y +3 more
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The Emerging Parkinson's Disease Oxylipin‐Ome
Advanced Science, EarlyView.ABSTRACT Parkinson Disease (PD) is increasingly considered a proteinopathy and lipidopathy. This proteinopathy+lipidopathy paradigm has been further refined to a fatty acid (FA)‐opathy, centering dysregulated FA metabolism as fundamental in PD lipid dysfunction.
Julia C. Kelliher, Saranna Fanning
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Comprehensive eco-geo-environmental assessment of the Sichuan-Yunnan ecological barrier zone using a random forest model. [PDF]
Sci RepYang X +5 more
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Advanced Science, EarlyView.Plastin‐2 (PLS2) is identified as a dual‐function receptor on DCs that mediates both nanoparticle uptake and immunomodulation. A nanobody‐LNP platform is engineered to integrate antigen delivery with relicensing DCs. The therapeutic strategy elicits potent anti‐tumor T cell responses and leads to significant inhibition of established tumors in vivo ...
Shugang Qin +9 more
wiley +1 more source
Random forest-based out-of-distribution detection for robust lung cancer segmentation. [PDF]
Proc SPIE Int Soc Opt EngRangnekar A, Veeraraghavan H.
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, 2008 Recent research addresses the problem of data-stream mining to deal with applications that require processing huge amounts of data such as sensor data analysis and financial applications. Data-stream mining algorithms incorporate special provisions to meet the requirements of stream-management systems, that is stream algorithms must be online and ...
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