Mosses ML: Machine-Learning-Enhanced Biomonitoring of Emerging Contaminants Using <i>Hylocomium splendens</i>: An Integrated Approach Linking Atmospheric Deposition, Trace Metals, and Predictive Risk Assessment. [PDF]
ToxicsKosior G +4 more
europepmc +1 more source
Acceptance of Machine Learning for Medication Selection in Epilepsy to Inform Clinical Trial Design: Co-Design Survey Study. [PDF]
JMIR AISmith MJ +8 more
europepmc +1 more source
Controlled image-based prediction of soil nutrient concentrations (NPK) using machine and deep learning. [PDF]
PLoS OneMaqsood U +6 more
europepmc +1 more source
Harnessing artificial intelligence to understand enzyme catalysis and discover new enzymes. [PDF]
Curr Opin Struct BiolBrownless AR, Kamerlin SCL.
europepmc +1 more source
Bridging the performance-efficiency gap: a resource-efficient hybrid DL-ML framework for jackfruit disease detection. [PDF]
Front Artif IntellTurjy RCD +6 more
europepmc +1 more source
Machine learning prediction of photoionization cross section in GaAs AlGaAs quantum dot ring nanostructures. [PDF]
Discov NanoJaouane M +5 more
europepmc +1 more source
Machine Learning in Mammals' Health: Integrating Multi-Omics Data for Precision Nutrition and Sustainable Production. [PDF]
Vet SciHuang W, Yu X, Xia Y, Li W, Zhao X.
europepmc +1 more source
Artificial intelligence and machine learning for organizational and system-level functions in primary health care: A scoping review protocol. [PDF]
PLoS OneGalvez-Hernandez P +3 more
europepmc +1 more source
Optimisation of metabolic dysfunction-associated steatotic liver disease (MASLD) screening algorithm for resource-poor settings using machine learning. [PDF]
PLoS OneMettananda C +6 more
europepmc +1 more source
Explicit Mechanistic Causal Analyses or Interventional Trials Are Required for Objective, Clinical, Voice-Based Parkinson Disease Characterization. [PDF]
J Med Internet ResLittle M.
europepmc +1 more source