AI Medical Compendium

Decoding gibberellin-strigolactone interaction networks in cereal crops toward a next-generation Green Revolution.

Molecular plant Mar 10, 2026

The agricultural Green Revolution (GR) of the 1950s and 1960s drove unprecedented increases in crop yields through widespread adoption of semi-dwarf cereal varieties with mutations affecting gibberellin (GA) biosynthesis or signaling pathways. Althou... read more

GS-Impute: A neural network framework for accurate imputation of low-density markers in across-population genomic selection.

Plant communications Mar 10, 2026

Genomic selection (GS) holds great promise for accelerating breeding progress in plants, and the advancement of across-population GS is essential to realize its full potential. However, conventional across-population GS heavily relies on precisely al... read more

Simulating enzyme catalysis with electrostatically embedded machine learning potentials.

Chemical science Mar 10, 2026

To simulate enzyme reactions, multiscale quantum mechanics/molecular mechanics (QM/MM) approaches are well established and popular. However, accurately and efficiently estimating enzyme activity is a challenge, because in general, precise methods are... read more

Polysaccharide-driven quality control of Gastrodia elata Blume: A multidimensional strategy integrating LC-MS/MS-based quantitative analysis, machine learning, and anti-neuroinflammatory bioactivity.

Journal of pharmaceutical and biomedical analysis Mar 10, 2026

Gastrodia elata Blume (GE), a highly regarded traditional Chinese medicinal herb, is widely recognized for its diverse pharmacological activities. Current quality control primarily relies on small molecule biomarkers, yet critical research gaps persi... read more

Integrative lipidomics profiles and explainable machine learning for species-specific identification of meat and bone meal.

Journal of chromatography. A Mar 10, 2026

Accurate species identification of meat and bone meal (MBM) is a regulatory requirement in many jurisdictions to prevent intra-species recycling (cannibalism) in animal feed. It is a practice that facilitates transmission of bovine spongiform encepha... read more

Robust prediction of parameterized cardiovascular hemodynamics using deep operator networks with time normalization.

Computer methods and programs in biomedicine Mar 10, 2026

BACKGROUND AND OBJECTIVES: Computational modeling of cardiovascular hemodynamics is essential for understanding disease mechanisms. While one-dimensional (1D) numerical solvers are widely used, their cumulative computational cost becomes prohibitive ... read more

Fast agreement-driven device-calibrated local learning paradigms for spiking neural networks.

Neural networks : the official journal of the International Neural Network Society Mar 10, 2026

We introduce Spike Agreement Dependent Plasticity (SADP) and its correlation-based variant Spike Correlation Dependent Plasticity (SCDP), biologically inspired synaptic learning rules for Spiking Neural Networks (SNNs) that rely on the agreement betw... read more

Classification of functional near-infrared spectroscopy (fNIRS) signals in schizophrenia and bipolar disorder using deep learning methods.

Psychiatry research Mar 10, 2026

BACKGROUND: Schizophrenia (SCZ) and Bipolar Disorder (BD) are prevalent mental disorders. This study uses functional near-infrared spectroscopy (fNIRS) combined with a verbal fluency task (VFT) to examine prefrontal function in SCZ and BD patients, d... read more

Making waves: Enhancing stormwater quality models through memory bias dynamics.

Water research Mar 10, 2026

Process-based build-up/wash-off models underpin urban stormwater quality management, yet structural simplifications and environmental non-stationarity often induce systematic biases that erode decision reliability. This "Making Waves" article explore... read more

Method design and automation of a forensic toxicology LC-QTOF-MS technique to meet high-throughput routine applications.

Forensic science international Mar 10, 2026

The utility of a comprehensive and validated analytical technique is minimized without a holistic method design and automated data processing. Forensic toxicology laboratories require workflows that are analytically rigorous and legally defensible, y... read more

Artificial Intelligence Medical Compendium