Results 171 to 180 of about 13,208 (247)

LightGBM

openaire   +2 more sources

An ANGPTL8‐AKT2‐mTOR Axis Drives Adipose Senescence and Aging‐Related Functional Decline

Aging Cell, Volume 25, Issue 8, August 2026.
ANGPTL8 increases with age in humans and mice and serves as a key predictor of biological aging and mortality. Adipocyte‐derived ANGPTL8 promotes cellular senescence through AKT2–mTOR signaling, whereas genetic deletion of Angptl8 attenuates adipose tissue aging and extends lifespan.
Yi He, Limeng Pan, WenJun Ping, Chen Meng, Xiaoyu Meng, Yaming Guo, Ranran Kan, Yuxi Xiang, Beibei Mao, Siyi Wang, Danpei Li, Xuefeng Yu   +11 more
wiley   +1 more source

Enhancing internet of things intrusion detection through high-performance boosting ensemble learning. [PDF]

Sci Rep
Yakovyna V, Fadieiev A.
europepmc   +1 more source

Machine Learning of Personal Repertoires From Public T Cell Receptors

Immunological Reviews, Volume 341, Issue 1, August 2026.
ABSTRACT The T‐cell receptor (TCR) repertoire records an individual's immunological history, but most unique CDR3 sequences in any one person are private and uninformative about anyone else. A small subset, however, recurs predictably across unrelated donors.
Or Malca, Alona Zilberberg, Sol Efroni
wiley   +1 more source

Multi-task gradient boosting with multi-modal molecular representations for simultaneous prediction of drug clearance and volume of distribution. [PDF]

PLoS One
Lee GS, Choi HG, Park DK, Kim HY.
europepmc   +1 more source

Study of a Kawasaki disease diagnostic prediction model based on the LightGBM machine learning algorithm. [PDF]

Front Artif Intell
Li H, Li Y, Gong C, Xiao Y, Su Z, Han L, Li H, Deng L, Li B, Chen Y, Zhang X.   +10 more
europepmc   +1 more source

Development of a machine learning-based classification model for diabetic foot in patients with type 2 diabetes: an exploratory analysis with SHAP interpretation. [PDF]

Front Med (Lausanne)
Pei Y, Zhang Z, Hu X, Wei T, Liu H, Liu Z, Li X, Liu W, Liu X, Tian Z.   +9 more
europepmc   +1 more source

Enhancing clinically cardiovascular machine learning model for risk prediction via sample augmentation. [PDF]

Front Med (Lausanne)
Tang X, Tang M, Liu W, Cui S.
europepmc   +1 more source

Development and early feasibility testing of machine-learning algorithms to non-invasively assess hemoglobin levels. [PDF]

NPJ Biomed Innov
Hefner S, Stoffers P, Langenberger B, Holstein A, Garafolj M, Klötzer C, Herling C, Vucinic V, Henschler R, Stern AD, Platzbecker U, Platzbecker AS.   +11 more
europepmc   +1 more source

Arthralgia and fever as dominant predictors of Chikungunya confirmation: an explainable artificial intelligence approach. [PDF]

Front Med (Lausanne)
Lu X, Yin D, Zhang H.
europepmc   +1 more source