AIMC Topic: Artificial Intelligence

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Deciphering the Lexicon of Protein Targets: A Review on Multifaceted Drug Discovery in the Era of Artificial Intelligence.

Molecular pharmaceutics
Understanding protein sequence and structure is essential for understanding protein-protein interactions (PPIs), which are essential for many biological processes and diseases. Targeting protein binding hot spots, which regulate signaling and growth,...

A comparative study of 11 non-linear regression models highlighting autoencoder, DBN, and SVR, enhanced by SHAP importance analysis in soybean branching prediction.

Scientific reports
To explore a robust tool for advancing digital breeding practices through an artificial intelligence-driven phenotype prediction expert system, we undertook a thorough analysis of 11 non-linear regression models. Our investigation specifically emphas...

Digital pathology with artificial intelligence analysis provides insight to the efficacy of anti-fibrotic compounds in human 3D MASH model.

Scientific reports
Metabolic dysfunction-associated steatohepatitis (MASH) is a severe liver disease characterized by lipid accumulation, inflammation and fibrosis. The development of MASH therapies has been hindered by the lack of human translational models and limita...

Application of Patient-Based Real-Time Quality Control Based on Artificial Intelligence Monitoring Platform in Continuously Quality Risk Monitoring of Down Syndrome Serum Screening.

Journal of clinical laboratory analysis
BACKGROUND: Patient-based real-time quality control (PBRTQC) has gained attention because of its potential to continuously monitor the analytical quality in situations wherein internal quality control (IQC) is less effective. Therefore, we tried to i...

Assessing the Potential Role of Artificial Intelligence in Medication-Related Osteonecrosis of the Jaw Information Sharing.

Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons
BACKGROUND: Artificial Intelligence, by answering questions about disease prevention strategies, can contribute to making diseases more treatable in their early stages.

Nordic radiographers' and students' perspectives on artificial intelligence - A cross-sectional online survey.

Radiography (London, England : 1995)
INTRODUCTION: The integration of artificial intelligence (AI) into the domain of radiography holds substantial potential in various aspects including workflow efficiency, image processing, patient positioning, and quality assurance. The successful im...

Chat-GPT on brain tumors: An examination of Artificial Intelligence/Machine Learning's ability to provide diagnoses and treatment plans for example neuro-oncology cases.

Clinical neurology and neurosurgery
OBJECTIVE: Assess the capabilities of ChatGPT-3.5 and 4 to provide accurate diagnoses, treatment options, and treatment plans for brain tumors in example neuro-oncology cases.

Increasing employment opportunity for persons with spinal cord injury by digital working: an exampling case series from Thailand.

Spinal cord series and cases
INTRODUCTION: Due to activity limitations and physical environmental barriers, low remunerative employment is a challenging issue for people with spinal cord injury (SCI) and relevant rehabilitation personnel. Since work opportunities in digital fiel...

Radiographic morphology of canines tested for sexual dimorphism via convolutional-neural-network-based artificial intelligence.

Morphologie : bulletin de l'Association des anatomistes
The permanent left mandibular canines have been used for sexual dimorphism when human identification is necessary. Controversy remains whether the morphology of these teeth is actually useful to distinguish males and females. This study aimed to asse...