AI Medical Compendium

Integrating automation into construction waste quantification: A review of digital innovations for sustainable resource management.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Apr 21, 2026

The construction sector is a major generator of solid waste, with construction and demolition waste (CDW) posing significant challenges to sustainable resource management. Accurate quantification is vital for achieving circular economy and waste redu... read more

Single-Cell Profiling Identifies CLEC5A+ Macrophages as Key Drivers of Thoracic Aortic Aneurysm Via CCL5-Mediated M1 Polarization.

Journal of clinical laboratory analysis Apr 21, 2026

BACKGROUND: Thoracic aortic aneurysm (TAA) is a life-threatening disease with limited therapeutic options, largely due to an incomplete understanding of its pathogenic mechanisms. Inflammation and immune dysregulation are central to TAA progression, ... read more

Synthetic fluorescent receptor arrays for sensing in complex matrices: from robust chemistry to data-driven readouts.

Chemical communications (Cambridge, England) Apr 21, 2026

Sensing is moving from specific lock-and-key biorecognition toward chemically programmable, pattern-based approaches. Synthetic fluorescent receptor arrays, composed of rationally designed organic probes (e.g., rhodamines, BODIPYs, naphthalimides, an... read more

autoscoRA: Deep Learning to Automate Sharp/van der Heijde Scoring of Radiographic Damage in Rheumatoid Arthritis.

Arthritis & rheumatology (Hoboken, N.J.) Apr 21, 2026

OBJECTIVE: Regular imaging by conventional radiography to assess for joint damage is a cornerstone in the management of rheumatoid arthritis (RA). Scoring systems to quantify such damage, such as the widely used Sharp/van der Heijde (SvdH) score, are... read more

High-resolution deep learning DIXON MRI of the sacroiliac joints is non-inferior to standard MRI in patients with suspected axial Spondyloarthritis.

Arthritis & rheumatology (Hoboken, N.J.) Apr 21, 2026

OBJECTIVE: To compare the standard multi-sequence MRI protocol (sMRI) of the sacroiliac joints with a single high-resolution deep learning-reconstructed DIXON sequence (DL-DIXON) in patients with suspected axial spondyloarthritis (axSpA). METHODS: Se... read more

Machine Learning-Assisted Design Framework of Carbon Edge-Dominated Dual-Atom Catalysts for Urea Electrosynthesis.

ACS nano Apr 21, 2026

Direct electrosynthesis of urea is highly desirable but is severely hindered by intricate proton-coupled electron transfer networks and competing reduction side reactions. Herein, we present a closed-loop data-driven strategy integrating high-through... read more

Machine Learning-Driven Optimization of Viscoelastic Microfluidic Particle Separation.

Analytical chemistry Apr 21, 2026

Viscoelastic microfluidics (VEM) offers superior biological particle isolation but is hindered by complex dynamics necessitating laborious empirical optimization. To address this challenge, we propose a machine learning (ML)-driven strategy for the r... read more

Modeling the hallucinatory effects of classical psychedelics in terms of replay-dependent plasticity mechanisms.

eLife Apr 21, 2026

Classical psychedelics induce complex visual hallucinations in humans, generating percepts that are coherent at a low level, but which have surreal, dream-like qualities at a high level. While there are many hypotheses as to how classical psychedelic... read more

Generative artificial intelligence for surgical site infection surveillance.

Infection control and hospital epidemiology Apr 21, 2026

BACKGROUND: Surgical site infection (SSI) surveillance can be time consuming and resource intensive. This study investigates the potential of generative artificial intelligence (GenAI) to augment the detection and classification of SSIs. METHODS: A c... read more

Can machine learning support infection control measures by predicting carbapenemase-producing Enterobacterales colonization at admission?