Public Health & Policy

Medical Education

Latest AI and machine learning research in medical education for healthcare professionals.

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Computational investigation of drug bank compounds against 3C-like protease (3CL) of SARS-CoV-2 using deep learning and molecular dynamics simulation.

Blocking the main replicating enzyme, 3 Chymotrypsin-like protease (3CL) is the most promising drug ...

Robotic Surgery: At the Crossroads of a Data Explosion.

BACKGROUND: For the last 20 years, controversies in robotic surgery focused on cost reduction, devel...

Simulation and Prediction of Fungal Community Evolution Based on RBF Neural Network.

Simulation and prediction of the scale change of fungal community. First, using the experimental dat...

Impact of COVID-19 pandemic on oil consumption in the United States: A new estimation approach.

The COVID-19 pandemic broke the balance of oil supply and demand. Meeting these oil market challenge...

The simulation experiment description markup language (SED-ML): language specification for level 1 version 4.

Computational simulation experiments increasingly inform modern biological research, and bring with ...

Use of artificial intelligence for gender bias analysis in letters of recommendation for general surgery residency candidates.

BACKGROUND: Letters of recommendation (LoRs) play an important role in resident selection. Author la...

Intelligent Simulation of Children's Psychological Path Selection Based on Chaotic Neural Network Algorithm.

In recent years, there are many problems in the study of intelligent simulation of children's psycho...

Using Appreciative Inquiry to explore the effect of COVID-19 on student trust: medical students' perspective.

This article was migrated. The article was marked as recommended. Background Students' anxiety due t...

Impact of Early Exposure to Robotic Surgery Among Pre-clinical Medical Students on Career Choice and Simulation Skills.

We aimed to assess whether early exposure of medical students to robotic surgery training influences...

Using Neural Network Force Fields to Ascertain the Quality of Simulations of Liquid Water.

Accurately simulating the properties of bulk water, despite the apparent simplicity of the molecule,...

Integration of Robotics in Urology Residency Programs: an Unchecked Technological Revolution.

PURPOSE OF REVIEW: To review the integration of robotics in urology residency programs and evaluate ...

Biomolecular simulation based machine learning models accurately predict sites of tolerability to the unnatural amino acid acridonylalanine.

The incorporation of unnatural amino acids (Uaas) has provided an avenue for novel chemistries to be...

Comparison of machine learning methods for estimating case fatality ratios: An Ebola outbreak simulation study.

BACKGROUND: Machine learning (ML) algorithms are now increasingly used in infectious disease epidemi...

Differentiable molecular simulation can learn all the parameters in a coarse-grained force field for proteins.

Finding optimal parameters for force fields used in molecular simulation is a challenging and time-c...

Analysis on frosting of heat exchanger and numerical simulation of heat transfer characteristics using BP neural network learning algorithm.

The study is aimed at the frosting problem of the air source heat pump in the low temperature and hi...

Machine-Learning-Assisted Free Energy Simulation of Solution-Phase and Enzyme Reactions.

Despite recent advances in the development of machine learning potentials (MLPs) for biomolecular si...

Davis Computational Spectroscopy Workflow-From Structure to Spectra.

We describe an automated workflow that connects a series of atomic simulation tools to investigate t...

Optimization of a Sports Activity Development Model Using Artificial Intelligence under New Curriculum Reform.

The recent curriculum reform in China puts forward higher requirements for the development of physic...

Implementation of a standardized robotic assistant surgical training curriculum.

Since 2000, robotic-assisted surgery has rapidly expanded into almost every surgical sub-specialty. ...

Developing a Robotic General Surgery Training Curriculum: Identifying Key Elements Through a Delphi Process.

OBJECTIVE: A national robotic surgery curriculum is still developing for general surgery residents a...

Optimization and Simulation of Manuscript Management System Based on Fuzzy Genetic Neural Network.

Manuscript management plays an important role in the whole periodical industry. Journals and magazin...

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