Results 111 to 120 of about 403,268 (198)

When Safety Fails to Update: Altered Dopamine Prediction Signals in Extinction-Deficient Mice. [PDF]

eNeuro
Hanafy MK.
europepmc   +1 more source

DyVarMap: Integrating Conformational Dynamics and Interpretable Machine Learning for Cancer-Associated Missense Variant Classification in FGFR2. [PDF]

Bioengineering (Basel)
Lian Y, Shehu A.
europepmc   +1 more source

Immune effector cell-associated neurotoxicity syndrome: integrative mechanisms, predictive biomarkers, and translational pathways for prevention in CAR T-cell therapy. [PDF]

Front Neurol
Aziz F, Chakraborty A, Saha D, Dutta P.
europepmc   +1 more source

Unraveling diethyl phthalate-induced prostate carcinogenesis: core targets revealed by integrated network toxicology, machine learning, and structural validation. [PDF]

Hum Genomics
Liu H, Jiang J, Tan Y, Yang M, Yang H, Li C.   +5 more
europepmc   +1 more source

The NERD model: reflex circuit dysfunction as a systems-level driver of persistent post-concussion symptoms. [PDF]

Front Syst Neurosci
Antonucci MM, Jay K.
europepmc   +1 more source

Heart failure induced by cancer therapies: focus on targeted agents, mechanisms, risk prediction, and clinical management. [PDF]

Front Pharmacol
Xiao L, Lin X, Yang Z, Lin B, Xie R.
europepmc   +1 more source

Cross-border logistics risk warning system based on federated learning. [PDF]

Sci Rep
Liang X.
europepmc   +1 more source

Time Series Viewmakers for Robust Disruption Prediction

Machine Learning guided data augmentation may support the development of technologies in the physical sciences, such as nuclear fusion tokamaks. Here we endeavor to study the problem of detecting disruptions i.e. plasma instabilities that can cause significant damages, impairing the reliability and efficiency required for their real world viability ...
Chayapathy, Dhruva, Siebert, Tavis, Spangher, Lucas, Moharir, Akshata Kishore, Patil, Om Manoj, Rea, Cristina   +5 more
openaire   +1 more source

Editorial: Technology developments and clinical applications of artificial intelligence in neurodegenerative diseases. [PDF]

Front Neurol
Li C, Li C.
europepmc   +1 more source

Gaining insights into Alzheimer's disease by predicting chromatin spatial organization. [PDF]

Bioinform Adv
Villaman C, Cartas-Espinel I, Saez M, Martin AJM.   +3 more
europepmc   +1 more source