AIMC Topic: Machine Learning

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AI-driven bone mineral density prediction from chest x-rays and its association with obstructive sleep apnea.

PloS one
With an increasing aging population, the prevalence of chronic comorbidities is on the rise. The potential relationship between obstructive sleep apnea (OSA) and osteoporosis has garnered significant attention. Most studies examining the association ...

Hierarchical AF2RAVE for Multiconformation Virtual Screening Targeting S100 Ca-Binding Proteins.

Journal of chemical theory and computation
Protein function is driven by transitions between metastable conformations, many of which are not conserved across homologues, offering opportunities for selective drug design. Accurately modeling both backbone and side chain metastability, and gener...

A Machine Learning Model for the Proteome-Wide Prediction of Lipid-Interacting Proteins.

Journal of chemical information and modeling
Lipids are essential metabolites that play critical roles in multiple cellular pathways. Like many primary metabolites, mutations that disrupt lipid synthesis can be lethal. Proteins involved in lipid synthesis, trafficking, and modification, are tar...

PhyCysID: Plant Cystatin Protein Prediction by an Artificial Intelligence Approach.

Journal of chemical information and modeling
Phytocystatins are proteinaceous inhibitors found in plants that competitively target various classes of cysteine proteinases, including papain-like enzymes, cathepsins, and legumains. Based on structural characteristics and gene organization, phytoc...

Intelligent Design of Terminators by Coupling Prediction and Generation Models.

ACS synthetic biology
Terminators are specific nucleotide sequences located at the 3' end of a gene and contain transcription termination information. As a fundamental genetic regulatory element, terminators play a crucial role in the design of gene circuits. Accurately c...

Cooperative actions of interneuron families support the hippocampal spatial code.

Science (New York, N.Y.)
Identifying the computational roles of different neuron families is crucial for understanding neural networks. Most neural diversity is embodied in various types of γ-aminobutyric acid-mediated (GABAergic) interneurons, grouped into four major famili...

DiffDesign: Controllable diffusion with meta prior for efficient interior design generation.

PloS one
Interior design is a complex and creative discipline involving aesthetics, functionality, ergonomics, and materials science. Effective solutions must meet diverse requirements, typically producing multiple deliverables such as renderings and design d...

Machine learning predictions of unplanned readmissions using electronic medical records: Predictor importance across medical and surgical patient populations.

PloS one
Hospital readmissions prolong patient suffering and increase healthcare expenditures. While several studies have attempted to develop prediction models to reduce readmissions, most have demonstrated modest predictive accuracy. To improve upon prior a...

Free Energy Projective Simulation (FEPS): Active inference with interpretability.

PloS one
In the last decade, the free energy principle (FEP) and active inference (AIF) have achieved many successes connecting conceptual models of learning and cognition to mathematical models of perception and action. This effort is driven by a multidiscip...

The public's perceptions and attitudes of male nursing postgraduate professional identity on Chinese social media: Qualitative study based on machine learning.

PloS one
BACKGROUND: Professional identity plays a critical role in the career development of male postgraduate nursing students, particularly in contexts where gender imbalance and social stereotypes persist.