AIMC Topic: Humans

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Practical Guidance for Training Machine Learning Models in Metabolomics and Mass Spectrometry Research.

Analytical chemistry
This tutorial offers a step-by-step guide for analytical chemists to train machine learning models for MS-based metabolomics. It covers data preparation, feature engineering, model selection, evaluation, and interpretation, along with real-world exam...

Machine Learning Guided by Physicochemical Principles Enables Generalized Prediction of Small-Molecule Subcellular Localization and Discovery of Targeted Molecules.

Analytical chemistry
Precise subcellular localization is crucial for the design of molecular probes and targeted therapeutics, yet selectively distinguishing organelles with similar physicochemical properties, such as lipid droplets, mitochondria, and the cell membrane, ...

Hierarchical dynamic coding coordinates speech comprehension in the human brain.

Proceedings of the National Academy of Sciences of the United States of America
Speech comprehension involves transforming an acoustic waveform into meaning. To do so, the human brain generates a hierarchy of features that converts the sensory input into increasingly abstract language properties. However, little is known about h...

A DNA methylation-based algorithm for diagnosing rheumatoid arthritis.

Arthritis research & therapy
BACKGROUND: Rheumatoid arthritis (RA), particularly seronegative disease, is difficult to diagnose early, which can delay treatment initiation. This study aims to develop a binary DNA methylation (DNAm)-based algorithm to diagnose RA.

Investigation into the molecular mechanism of obesity: an integrated approach of multi-omics analysis, machine learning and experimental validation.

Journal of translational medicine
BACKGROUND: Obesity has emerged as a major global public health challenge and poses a significant threat to human health. Despite extensive research, the mechanisms underlying its pathological progression remain elusive.

Evaluating trustworthiness in AI-Based diabetic retinopathy screening: addressing transparency, consent, and privacy challenges.

BMC medical ethics
BACKGROUND: Artificial intelligence (AI) offers significant potential to drive advancements in healthcare; however, the development and implementation of AI models present complex ethical, legal, social, and technical challenges, as data practices of...

Morphological comparison between artificial intelligence-driven and manual CAD design in single tooth restoration: a preliminary study.

BMC oral health
OBJECTIVE: The integration of artificial intelligence (AI) into CAD/CAM workflows has revolutionized dental prosthetics manufacturing, yet its morphological trueness compared to manual design remains underexplored.

Efficacy and safety of platelet-rich plasma injections for the treatment of knee osteoarthritis: a systematic review and meta-analysis of randomized controlled trials.

European journal of medical research
INTRODUCTION: Knee osteoarthritis (KOA) is a prevalent degenerative joint disorder affecting a significant portion of the elderly population. Despite the availability of various non-surgical and pharmacological treatments, their effectiveness is ofte...

Ethics of nursing in the digital age: perceptions and challenges among Korean nursing students.

BMC medical ethics
BACKGROUND: The advancement of digital technologies has brought transformative changes across the healthcare sector, and nursing is no exception. However, existing research has largely overlooked the ethical challenges nursing students face in real-w...