Artificial Intelligence Medical Compendium

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

Showing 27,471 to 27,480 of 218,826 articles

MechanoAge, a machine learning platform to identify individuals susceptible to breast cancer based on mechanical properties of single cells.

EBioMedicine
BACKGROUND: Emerging evidence links cellular ageing and biophysical alterations with cancer susceptibility. Existing breast cancer risk models inadequately identify individuals at latent risk, particularly among women without known genetic mutations ... read more 

Leveraging large language models for metabolic engineering design.

Trends in biotechnology
Establishing efficient cell factories involves a continuous process of trial and error due to metabolic complexity. This complexity makes predicting effective engineering targets a challenging task. Therefore, successful previous designs are vital fo... read more 

The promise of AlphaFold for gene structure annotation.

Nucleic acids research
Most new genomes lack annotation, automated methods are error-prone, and few genomes are ever manually curated due to time and cost. Protein structure predictions may offer a new route to assess and improve gene models without requiring experimental ... read more 

Sidelobe suppression of Barker codes via MRH method.

Ultrasonics
The Barker code is widely used in ultrasonic testing to enhance transmitted energy and achieve high-resolution pulse compression through a matched filter. However, the inherent sidelobe of the Barker code can obscure defect echoes under tough testing... read more 

Multimodal neural operators for real-time biomechanical modelling of traumatic brain injury.

Computer methods and programs in biomedicine
BACKGROUND: Traumatic brain injury (TBI) remains a major public health concern, with over 69 million cases annually worldwide. Accurate patient-specific biomechanical modeling is critical for injury risk assessment, but it requires integrating hetero... read more 

Association of the neutrophil percentage-to-albumin ratio with sarcopenia in U.S. adults: Evidence from NHANES 2011-2018 and machine learning-based analyses.

Experimental gerontology
BACKGROUND: Sarcopenia is an age-related muscle disorder driven by complex interactions between chronic inflammation and nutritional imbalance. The neutrophil percentage-to-albumin ratio (NPAR), an emerging biomarker integrating systemic inflammatory... read more 

Predicting Expiration Among Potential Donation after Circulatory Death Donors at 30- and 120 Minutes Post Extubation.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
PURPOSE: Many potential Donation After Circulatory Death (DCD) donors do not progress to circulatory death within meaningful timeframes, leading to wasted procurement resources. We therefore sought to develop robust machine learning models to predict... read more 

Choline kinase beta promotes psoriasis pathogenesis by regulating sphingolipid metabolism and activating the PI3K/Akt/GSK3β signaling pathway.

Biochimica et biophysica acta. Molecular basis of disease
Psoriasis is a chronic inflammatory skin disorder characterized by dysregulated lipid metabolism, yet the key molecular drivers remain unclear. This study aimed to identify and validate novel metabolic regulators in psoriasis. Using a multi-stage bio... read more 

Integrating EEG microstate dynamics in a stacked ensemble for neurodiagnostic ASD assessment.

Behavioural brain research
Autism Spectrum Disorder (ASD) remains diagnostically challenging due to its neurobiological heterogeneity and the current reliance on subjective behavioral assessments. To address this, we propose a novel stacked ensemble machine learning framework ... read more