Artificial Intelligence Medical Compendium

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

Showing 30,461 to 30,470 of 220,100 articles

Deep learning inference of cell type-specific gene expression from breast tumor histopathology.

NPJ precision oncology
Cell type-specific gene expression from single-cell RNA sequencing (RNA-seq) is valuable for breast cancer precision oncology but available cohorts are still limited due to its high cost. Deconvolution methods infer cell type-specific expression from... read more 

Divergent synthesis of γ-lactones and cyclopropanes via efficient [1 + 4] and [1 + 2] annulations of amide-sulfoxonium ylides.

Communications chemistry
Functionalized γ-lactones and cyclopropanes, especially those bearing amide substituents, play important roles in diverse chemical and pharmacological processes, but their synthesis remains challenging. Here, we report a high-throughput protocol that... read more 

Harnessing Surface Instabilities for Functional Materials: Mechanics, Morphology, and Emerging Applications.

Nano-micro letters
Surface instabilities, such as wrinkling, folding, and creasing, have transcended their traditional perception as mechanical failures to emerge as a powerful and versatile paradigm for engineering functional surface morphologies in soft materials. Th... read more 

Role of artificial intelligence in head and neck surgery - A narrative review.

Turkish journal of surgery
The advent of artificial intelligence (AI) in the field of head and neck surgery has remarkably impacted in various domains, including investigation, diagnosis, pre-operative decision making, surgical planning, rehabilitation, and so on. Head and nec... read more 

Reduction of Acquisition Time in FTIR Spectroscopy via Spectral Super-Resolution by Deep Learning.

Analytical chemistry
This study aims to enhance spectral resolution in Fourier transform infrared spectroscopy (FTIR), a crucial element for in-depth molecular analysis in clinical diagnosis. We address this challenge by developing spectral super-resolution models based ... read more 

Nanotrap-AI Integration Enables Ultra-Sensitive Point-of-Care HIV Testing.

ACS nano
Early HIV detection using noninvasive samples remains challenging because oral fluid contains extremely low antibody levels and enzymatic inhibitors that limit the sensitivity of lateral-flow assays (LFAs). We introduce BE-SMART-HIV, a diagnostic pla... read more 

A Reinforcement Learning-Guided Genetic Algorithm Integrating Medicinal Chemistry-Inspired Molecular Transformations.

Journal of chemical information and modeling
Achieving optimal target activity while maintaining synthetic accessibility and drug-likeness represents a major challenge in computational drug discovery. Existing de novo generative models often yield chemically invalid or synthetically intractable... read more 

Scenario-based evaluation of large language models for reference accuracy in dermatology: literature retrieval on latent tuberculosis in psoriasis patients on anti-IL-17/23 therapy.

Cutaneous and ocular toxicology
BACKGROUND: Large language models (LLMs) could accelerate clinical literature searches, but their reliability is compromised by "hallucinations" generating false references. This study compared three general-purpose LLMs using a standardized dermatol... read more