Practice Management

Staffing & Scheduling

Latest AI and machine learning research in staffing & scheduling for healthcare professionals.

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Comparative effectiveness of anti-seizure medications in emulated trials using medical informatics.

Anti-seizure medications (ASMs) are often prescribed using a trial-and-error approach with a similar...

Artificial intelligence in cardiovascular pharmacotherapy: applications and perspectives.

Recent advances in artificial intelligence (AI) have shown great potential in improving cardiovascul...

Cohort profile: China healthy aging cohort study (China-Aging).

BackgroundAs China undergoes a demographic transition towards an aging society, the prevalence and i...

Advances in nanorobotics for gastrointestinal surgery: a new frontier in precision medicine and minimally invasive therapeutics.

Nanorobotics is catalyzing a paradigm shift in GI surgery by synergizing nanoscale engineering, synt...

Measurement and prediction of small molecule retention by Gram-negative bacteria based on a large-scale LC/MS screen.

The challenge of assessing intracellular accumulation represents a major hurdle to the discovery of ...

Chloride ion-capturing LaSrBO (B = Fe, Co) perovskite oxides achieving superior electrochemical desalination performance.

Perovskite oxides (ABO), with a designable crystal structure, excellent conductivity and inherent ox...

AI-driven robotic surgery in oncology: advancing precision, personalization, and patient outcomes.

Artificial intelligence (AI) integrated with robotic systems is transforming oncologic surgery by si...

Using Deep Graph Neural Networks Improves Physics-Based Hydration Free Energy Predictions Even for Molecules Outside of the Training Set Distribution.

The accuracy of computational water models is crucial to atomistic simulations of biomolecules. Here...

Picoeukaryote-based biohybrid microrobots for active delivery in the kidney.

Confined spaces in the human body pose substantial challenges for biomedical procedures. Navigating ...

Three-dimensional digital quantitative analysis of periodontal and peri-implant phenotype-A narrative review.

3D digital evaluation of the periodontal and peri-implant tissue, including CBCT, intraoral scanning...

StackPIP: An Effective Computational Framework for Accurate and Balanced Identification of Proinflammatory Peptides.

Proinflammatory peptides (PIPs) play a crucial role in immune response modulation by orchestrating c...

MAMSI: Integration of Multiassay Liquid Chromatography-Mass Spectrometry Metabolomics Data Using Multiview Machine Learning.

Liquid chromatography-mass spectrometry (LC-MS) is a commonly used analytical technique in untargete...

Feasibility study of using GPT for history-taking training in medical education: a randomized clinical trial.

BACKGROUNDS: Traditional methods of teaching history-taking in medical education are limited by scal...

GeoAI-based soil erosion risk assessment in the Brahmaputra River Basin: a synergistic approach using RUSLE and advanced machine learning.

Soil erosion is a critical environmental issue in the Brahmaputra River Basin, threatening agricultu...

Deep knowledge tracing and cognitive load estimation for personalized learning path generation using neural network architecture.

This paper presents a novel approach for personalized learning path generation by integrating deep k...

Biologically-informed excitatory and inhibitory ratio for robust spiking neural network training.

Spiking neural networks drawing inspiration from biological constraints of the brain promise an ener...

Performance assessment of various graph neural network architectures for predicting yields in cross-coupling reactions.

Machine learning (ML) is revolutionizing various scientific fields, including chemistry. Among diffe...

Multi-objective production scheduling optimization strategy based on fuzzy mathematics theory.

Multi-objective production scheduling faces the problems of inter-objective conflicts, many uncertai...

Making data markets: Assetization, valuation, and proxy work in a digital health start-up.

Digital data are increasingly framed as essential resources in health and medicine, implicating dive...

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