Artificial Intelligence Medical Compendium

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

Showing 67,131 to 67,140 of 232,511 articles

Progress in constitutive modeling of arterial wall tissue mechanics: from theoretical frameworks to clinical application.

Progress in biophysics and molecular biology
Cardiovascular disease (CVD) is a leading cause of mortality worldwide, and the mechanical behavior of arterial wall tissue (AWT) is central to its initiation and progression. This review surveys advances in constitutive models of AWT over the past t... read more 

Hybrid framework combining machine learning with mechanism models for enhanced forecasting of biomass gasification products.

Bioresource technology
Owing to the inherent complexity and nonlinear variable interactions in biomass gasification, accurate products prediction with limited data poses a significant challenge. Herein, in this study, we proposed a hybrid model framework by mixing thermody... read more 

Deciphering the rules of regulated cell death subroutines by in silico methods.

Journal of advanced research
BACKGROUND: Regulated cell death (RCD) is essential for organismal development, as it plays key roles in organ formation, pathogen defense, and the maintenance of homeostasis. However, while RCD subroutines-such as apoptosis, autophagy, pyroptosis, n... read more 

MetIoR: A meta predictor to predict intrinsic disorder in RNA binding proteins.

Biochimica et biophysica acta. Proteins and proteomics
Intrinsic disorder in proteins is ubiquitous in nature across various proteomes. The association of intrinsically disordered proteins (IDP) with a large variety of biomolecules is essential in many cellular functions. Moreover, IDPs are involved in m... read more 

On biological and artificial consciousness: A case for biological computationalism.

Neuroscience and biobehavioral reviews
The rapid advances in the capabilities of Large Language Models (LLMs) have galvanised public and scientific debates over whether artificial systems might one day be conscious. Prevailing optimism is often grounded in computational functionalism: the... read more 

Interobserver variability in histopathologic diagnosis of melanocytic neoplasms.

Journal of the American Academy of Dermatology
BACKGROUND: Precise histopathologic diagnosis of melanocytic neoplasms is required to guide appropriate clinical management; however, significant interobserver variability remains a challenge and may lead to suboptimal management. OBJECTIVE: To quant... read more 

Navigating the winding road toward precision prostate cancer care.

Gene
Prostate cancer (PCa) remains the second leading cause of cancer-related mortality among U.S. men, driven in large part by metastatic castration-resistant prostate cancer (mCRPC) despite initial responses to androgen-receptor (AR)-targeted therapies.... read more 

Designing prokaryotic gene expression regulatory elements: From genomic mining to artificial intelligence-driven generation.

Biotechnology advances
Gene expression regulatory elements (GEREs) play a pivotal role in the control of gene transcription and translation. The design of GEREs with precise and tunable activity remains a major challenge in synthetic biology. Over the past decades, enginee... read more 

Multi-condition machine learning models for understanding retention mechanisms and predicting retention time in supercritical fluid chromatography/mass spectrometry.

Analytica chimica acta
BACKGROUND: Modern supercritical fluid chromatography (SFC) enables fast and efficient separations owing to the low viscosity and high diffusivity of supercritical mobile phases. However, its retention mechanisms remain incompletely understood, limit... read more