Artificial Intelligence Medical Compendium

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

Showing 1,401 to 1,410 of 234,892 articles

Artificial intelligence and machine learning, a game changer in pharmaceutical development ? - An updated perspective arising from Journees Galeniques 2024.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
Artificial intelligence (AI) and machine learning (ML) are increasingly being applied across pharmaceutical development, from drug-property prediction and safety assessment to formulation design, model-informed development and clinical research. This... read more 

Concentration-dependent effects of metal(loid) exposure on bacterial conjugative transfer: a meta-analysis and machine learning study.

Environmental pollution (Barking, Essex : 1987)
Metal(loid) contamination of aquatic and agricultural systems is a global concern, yet its impact on conjugative transfer of antibiotic resistance genes under environmentally relevant concentrations remains unquantified. We synthesized 556 effect siz... read more 

Evaluation of Murrayanine's Anticancer Potential in Breast Cancer: Integrative Computational, In Vitro, and Nanoparticle Delivery Approaches.

The Journal of steroid biochemistry and molecular biology
Breast cancer continues to be a major threat to women's health on a global scale. Innovative treatments that are effective and well-tolerated are greatly needed. Nature-derived compounds, such as phytochemicals, have gained widespread interest owing ... read more 

Ball-milling medium dictates the reconstruction pathway of hydrochar: Coupling pore opening with functionality retention.

Bioresource technology
Hydrochar retains abundant oxygen-containing functional groups but little porosity, and thermal upgrading opens pores at the expense of surface chemistry. Ball milling requires no external heating, so its structural outcome is decided by how freshly ... read more 

Sheep Pulmonary Image Recognition (SPIRO): an explainable deep learning framework for macroscopic assessment of ovine pulmonary lesions.

Veterinary journal (London, England : 1997)
Accurate detection and classification of pulmonary diseases in sheep are critical for ensuring animal welfare, food safety, and effective disease surveillance in abattoir settings. In this study, we propose a two-stage, explainable, histopathology-in... read more 

Artificial Intelligence for Predicting Amputation and Related Outcomes in Peripheral Artery Disease: A Systematic Review and Meta-Analysis.

Annals of vascular surgery
BACKGROUND: Peripheral artery disease (PAD) affects over 236 million individuals globally and carries substantial risks of amputation, major adverse limb events (MALE), and mortality. Existing clinical scoring systems focus on short-term surgical out... read more 

Post-Traumatic Stress Disorder Recognition Using the fNIRS Dual-Attention Network.

Journal of neuroscience methods
BACKGROUND: Post-traumatic stress disorder (PTSD) is a prevalent psychological disorder that can impair daily functioning and mental health. Current clinical assessment mainly relies on structured interviews and symptom scales, which may introduce su... read more 

The role of rapamycin in neural tube defects: insights from bioinformatics analysis and experimental validation.

European journal of pharmacology
Neural tube defects (NTDs) are the most severe congenital malformations of the central nervous system. Fetal developmental homeostasis disruptions heighten NTDs risk through aberrant maternal-fetal signaling and periconceptional medication exposure. ... read more 

Entomopathogenic nematode recent applications in precision agriculture: Methods, challenges, and future perspectives.

Journal of invertebrate pathology
This review examines recent advances in the application technologies of entomopathogenic nematodes (EPNs) as sustainable biological control agents in agricultural systems. Although synthetic pesticides have long been used for pest management, their a... read more 

Beyond SELEX: AI-driven aptamers from sequence to structure to function.

Biotechnology advances
Conventional aptamer discovery by systematic evolution of ligands by exponential enrichment (SELEX) is often constrained by limited library capacity, PCR bias, and multi-round screening. The recent convergence of artificial intelligence with aptamer ... read more