Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 17,651 to 17,660 of 214,033 articles

Dual-Scale StaphAIR: Predictive Modeling for the Diagnosis of S. aureus Infection via Simultaneous Detection and Quantification of Cytokines and Antibodies.

Analytical chemistry
Staphylococcus aureus causes life-threatening bacterial infections. Current diagnostics for bone infection consist of invasive sample collection and lengthy microbial culture; available blood tests are not effective in the orthopedic context. To addr... read more 

Biological and Biomedical Applications of Optical Photothermal Infrared Spectroscopy (O-PTIR).

Applied spectroscopy
Optical photothermal infrared (O-PTIR) spectroscopy is rapidly transforming molecular imaging by combining the chemical specificity of infrared absorption with the high spatial resolution enabled by visible-light excitation. This review provides a co... read more 

Machine learning-driven integration of multi-omics data uncovers methylation-dependent molecular signatures for luminal A and B breast cancer subtypes.

Epigenomics
BACKGROUND: Breast cancer is the most common malignancy in women and includes molecular subtypes with distinct clinical outcomes, such as luminal A and luminal B. Although luminal tumors account for most cases, the epigenetic mechanisms differentiati... read more 

Health Risk Assessment for Rare Earth Ions: From End Point Identification of Cytotoxicity to Mixed Toxicity Prediction.

Environmental science & technology
Rare earth elements (REEs) are emerging contaminants with escalating environmental releases. However, REE health risk assessment faces critical challenges due to inconsistent cytotoxicity benchmarks and complex multielement exposures. Here, we develo... read more 

Machine Learning-Guided Pore Engineering of Metal-Organic Frameworks for Ultrahigh Volumetric Methane Storage.

Journal of the American Chemical Society
The high volumetric storage of methane under mild conditions remains a central challenge for the practical implementation of adsorbed natural gas technologies. Here, we report a machine learning (ML)-guided strategy that integrates large-scale comput... read more 

Highly Efficient Broad-Spectrum Antibacterial Carbon Dots through Hierarchical Machine Learning Framework.

Nano letters
The global threat of antibiotic resistance necessitates intelligent design strategies for next-generation antibacterial nanomaterials. Herein, high-efficacy broad-spectrum antibacterial carbon dots (CDs) are demonstrated by the developed hierarchical... read more 

Deep Learning-Assisted Elucidation of Structure-Performance Relationships in MOF-NH3 Adsorption Refrigeration Working Pairs.

Langmuir : the ACS journal of surfaces and colloids
Adsorption refrigeration systems using MOFs-ammonia working pair can convert low-grade thermal energy into cooling capacity, thereby emerging as promising future carbon-neutral energy systems. However, the adsorption mechanism of MOFs under saturated... read more 

Quality over quantity: biopsy-anchored CT radiogenomics models outperform all-lesion training in a multi-tumour cohort despite a smaller sample size.

European radiology
OBJECTIVE: Radiogenomics aims to non-invasively predict tumour genotypes from imaging, but most studies assume molecular homogeneity by assigning a single biopsy-derived label to all lesions within a patient. This approach risks substantial label noi... read more 

Robust deep learning for incomplete MRI sequences in glioma grading and IDH mutation status prediction: a large-scale multicenter study.

European radiology
OBJECTIVES: Incomplete MRI sequences pose a significant challenge to the reliability of multiparametric MRI (mp-MRI) radiomics models. This study aimed to develop a robust and noninvasive approach for accurate glioma grading and isocitrate dehydrogen... read more 

Consensus statement on the application of artificial intelligence in osteoporosis screening and management: perspectives from the Asia-Pacific region.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA
UNLABELLED: Osteoporosis is a major and growing health concern in the Asia-Pacific region, y et it remains widely underdiagnosed and undertreated due to limited access to dual-energy X-ray absorptiometry (DXA) in many areas. Artificial intelligence (... read more