AIMC Topic: Artificial Intelligence

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Exploring artificial intelligence in the Nigerian medical educational space: An online cross-sectional study of perceptions, risks and benefits among students and lecturers from ten universities.

The Nigerian postgraduate medical journal
BACKGROUND: The impact of artificial intelligence (AI) has been compared to that of the Internet and printing, evoking both apprehension and anticipation in an uncertain world.

Recent Trends in Computer-aided Drug Design for Anti-cancer Drug Discovery.

Current topics in medicinal chemistry
Cancer is considered one of the deadliest diseases globally, and continuous research is being carried out to find novel potential therapies for myriad cancer types that affect the human body. Researchers are hunting for innovative remedies to minimiz...

3D Printable Drug Delivery Systems: Next-generation Healthcare Technology and Regulatory Aspects.

Current pharmaceutical design
A revolutionary shift in healthcare has been sparked by the development of 3D printing, propelling us into an era replete with boundless opportunities for personalized DDS (Drug Delivery Systems). Precise control of the kinetics of drug release can b...

A comparative study of the 2D- and 3D-based skeleton avatar technology for assessing physical activity and functioning among healthy older adults.

Health informatics journal
Maintaining physical activity (PA) and functioning (mobility, balance) is essential for older adults' well-being and quality of life. However, current methods (functional tests, self-reports) and available techniques (accelerometers, sensors, advanc...

Biomarkers of aging - current state of knowledge.

Casopis lekaru ceskych
Aging is a process of gradual decline in the functional capacity of the human body that leads to a significant increase in the risk of death over time. Although it is a process universal to all animals, its rate is not the same. Biomarkers of aging a...

ToxAIcology - The evolving role of artificial intelligence in advancing toxicology and modernizing regulatory science.

ALTEX
Toxicology has undergone a transformation from an observational science to a data-rich discipline ripe for artificial intelligence (AI) integration. The exponential growth in computing power coupled with accumulation of large toxicological datasets h...

Quantitative Structure Activity/Toxicity Relationship through Neural Networks for Drug Discovery or Regulatory Use.

Current topics in medicinal chemistry
Quantitative structure - activity relationship (QSAR) modelling is widely used in medicinal chemistry and regulatory decision making. The large amounts of data collected in recent years in materials and life sciences projects provide a solid foundati...

Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes.

Health informatics journal
Cross-institution collaborations are constrained by data-sharing challenges. These challenges hamper innovation, particularly in artificial intelligence, where models require diverse data to ensure strong performance. Federated learning (FL) solves d...