AIMC Topic: Artificial Intelligence

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Artificial Intelligence in Environment and Human Health: Progress, Opportunities and Challenges.

Current environmental health reports
The rapid advancement of artificial intelligence (AI) presents unprecedented opportunities and challenges for assessing planetary health, particularly in environmental health. As a key determinant of human well-being, the environment significantly in...

Human asymmetries in AI art: Syntax and writing direction effects on agent position in AI-generated images.

PloS one
The present study investigates positional patterns in visual representations generated by two artificial intelligence (AI) models in response to textual prompts describing interactions between two animate entities. The primary objective is to assess ...

AI-designed PNA-peptide chimera overcomes suboptimal binding for dual inhibition of viral RdRp.

European journal of medicinal chemistry
The chimera combining the peptide nucleic acids (PNAs) and peptides represent a promising bifunctional strategy by concurrently binding with protein catalytic pocket and its associated RNA template, effectively disrupting protein's function. Conventi...

Additive manufacturing of microneedles: a quality by design approach to clinical translation.

International journal of pharmaceutics
Transdermal drug delivery systems (TDDS) offer a painless and non-invasive route of administration but are limited by the skin barrier. Microneedles (MNs) have been shown to overcome this challenge and enable the delivery of small molecules, peptides...

The application of artificial intelligence-based algorithms in predicting the progression of keratoconus: a systematic review.

International ophthalmology
PURPOSE: To conduct a systematic review of studies examining the use of artificial intelligence (AI) algorithms in predicting the progression of keratoconus (KCN).

Comparative Study of Molecular Descriptors and AI-Based Embeddings for Toxicity Prediction.

Chemical research in toxicology
Accurate toxicity prediction is a critical component of pharmaceutical development and regulatory safety evaluation, traditionally relying on molecular descriptor-based models. This study compares the performance of descriptor-based features (Mordred...

How public involvement can improve the science of AI.

Proceedings of the National Academy of Sciences of the United States of America
As AI systems from decision-making algorithms to generative AI are deployed more widely, computer scientists and social scientists alike are being called on to provide trustworthy quantitative evaluations of AI safety and reliability. These calls hav...

Artificial intelligence-driven kidney organ allocation: systematic review of clinical outcome prediction, ethical frameworks, and decision-making algorithms.

BMC nephrology
Kidney transplantation remains the optimal treatment for end-stage renal disease, yet persistent organ shortages and inequitable allocation necessitate innovative solutions. Artificial intelligence (AI) and machine learning (ML) have emerged as promi...

What's Economics Got to Do with It? Providing Theoretical Clarity on ELSA of AI.

Science and engineering ethics
While research in the ethics of artificial intelligence (AI) has grown recently, the relationship between AI's ethical and economic dimensions is under-researched. This is surprising, given the considerable investments in AI by Big Tech companies (e....