Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 3,661 to 3,670 of 169,097 articles

Integrating Physics-Based Simulations with Data-Driven Deep Learning Represents a Robust Strategy for Developing Inhibitors Targeting the Main Protease.

Journal of chemical information and modeling
The coronavirus main protease, essential for viral replication, is a well-validated antiviral target. Here, we present Deep-CovBoost, a computational pipeline integrating deep learning with free energy perturbation (FEP) simulations to guide the stru... read more 

Microbes in Fermentation: Guardians or Threats to Food Safety?

Journal of agricultural and food chemistry
Fermentation plays a pivotal role in food preservation, with fermentative microbes enhancing food safety and stability. However, improper conditions can introduce risks. This perspective examines the dual role of microbes (the benefits of fermentativ... read more 

Spontaneous Surface Charging and Janus Nature of the Hexagonal Boron Nitride-Water Interface.

Journal of the American Chemical Society
Boron, nitrogen, and carbon are neighbors in the periodic table and can form strikingly similar twin structures─hexagonal boron nitride (hBN) and graphene─yet nanofluidic experiments demonstrate drastically different water friction on them. We invest... read more 

Machine-Learning-Assisted Density Functional Theory Calculations: A New Approach to Screening Thermal Runaway Gas Sensors for Lithium-Ion Batteries.

Langmuir : the ACS journal of surfaces and colloids
Lithium-ion batteries face safety risks, such as spontaneous combustion and explosion, during long-term use and will rupture and release combustible gases, such as CH, CO, H, and CO, during thermal runaway. Therefore, the detection of these specific ... read more 

Fast Multi-Dimensional Imaging Using the Unsupervised 3D Noise2Void Denoising Network.

Analytical chemistry
Label-free multidimensional imaging techniques are widely used in biological imaging. Among them, Raman imaging and phase imaging are two representative methods. However, Raman signals are inherently weak, leading to low signal-to-noise ratios (SNR) ... read more 

From Formability to Bandgap: Machine Learning Accelerates the Discovery and Application of Perovskite Materials.

ACS nano
Perovskite materials are considered promising candidates for applications in solar cells, photodetectors, catalysts, and light-emitting diodes, owing to their exceptional physicochemical and structural properties. Recently, the integration of machine... read more 

Incorporation of Metabolic Dysfunction-Associated Steatotic Liver Disease in the Health Stage of Cardiovascular-Kidney-Metabolic Syndrome Improves Predictive Ability for Coronary Artery Disease in a Japanese General Population.

Journal of the American Heart Association
BACKGROUND: Cardiovascular-kidney-metabolic (CKM) syndrome is a recently proposed condition encompassing metabolic dysfunction, chronic kidney disease, and cardiovascular diseases including coronary artery disease (CAD). Although concomitant metaboli... read more 

Deep manifold learning reveals hidden developmental dynamics of a human embryo model.

Science advances
In this study, postimplantation human epiblast and amnion development are modeled using a stem cell-based embryoid system. A dataset of 3697 fluorescent images, along with tissue, cavity, and cell masks, is generated from experimental data. A computa... read more