AI Medical Compendium

Global Variability in Isoprenoid Emissions: Divergent Responses to Warming and Drought Driven by Physiochemical Controls.

Plant, cell & environment Apr 16, 2026

Climate change alters biogenic volatile organic compound (BVOC) emissions, yet a quantitative understanding of the interactive effects of warming and drought across plant types and physiological mechanisms remains limited. Here, we quantify the impac... read more

Crowdsourced versus large language models forecasting: evidence for the accuracy-correlation effect.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Apr 16, 2026

Over the past quarter century, crowdsourced forecasting has largely outperformed individual forecasters. Today, large language models (LLMs), aggregating human knowledge at scale, constitute a new form of collective intelligence (CI). A central quest... read more

Realizing Aqueous High-Order Tripartite Synapse.

Advanced materials (Deerfield Beach, Fla.) Apr 16, 2026

Future integration of artificial intelligence in biological settings imposes a non-negotiable requirement for advanced aqueous synapses, demanding not only biocompatibility in proper aqueous environments but also high-order behavior with multimodal f... read more

"Beyond Efficiency: Reimagining Health Technology Assessment in the Age of Artificial Intelligence".

International journal of technology assessment in health care Apr 16, 2026

Artificial Intelligence in Haemophilia Care: A Narrative Review of Current Evidence and Future Opportunities.

Haemophilia : the official journal of the World Federation of Hemophilia Apr 16, 2026

Artificial intelligence (AI) is increasingly explored in healthcare for its capacity to analyse complex data, support clinical decision-making and enable more personalised care. In haemophilia, AI is emerging as a potential driver of transformation a... read more

Multiscale modelling: an industrial perspective.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Apr 16, 2026

Computational modelling of materials and catalysis is now indispensable in an industrial setting, fuelled by powerful algorithms and increasing computational speed. This article explores how multiscale modelling techniques are being used to accelerat... read more

Predicting reactive graphene edge-adsorbed Pt single-atom catalyst structures for oxygen reduction via machine learning-enhanced DFT calculations.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Apr 16, 2026

Single-atom platinum on graphitic materials can enhance catalysis of the oxygen reduction reaction (ORR). The local atomic structure shapes catalytic activity, but is not yet sufficiently understood due to its complexity. In this study, a machine lea... read more

Optima: a GUI-based toolkit for developing and validating interpretable machine learning based supervised classification QSAR models.

SAR and QSAR in environmental research Apr 16, 2026

The rapid advancement of ML algorithms and the increasing availability of large datasets have significantly transformed the landscape of predictive modelling in scientific research. In this context, we introduce Optima (OPTimized Interpretable Model ... read more

Clinically Localized Prostate Cancer: AUA/ASTRO Guideline Amendment (2026).

The Journal of urology Apr 16, 2026

PURPOSE: Following completion of the 2025 Update Literature Review (ULR), the American Urological Association (AUA) incorporated new evidence generated since the 2022 publication of this Guideline via the AUA Amendment process. The resulting 2026 Gui... read more

CEP-IP: An explainable framework for cell subpopulation identification in single-cell transcriptomics.

Computer methods and programs in biomedicine Apr 16, 2026

BACKGROUND AND OBJECTIVE: Single-cell RNA sequencing (scRNA-seq) frameworks lack explainable approaches for identifying cell subpopulations harboring strong pairwise monotonic gene-module relationships between a gene of interest (GOI) and its co-expr... read more

Artificial Intelligence Medical Compendium