Artificial Intelligence Medical Compendium

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

Showing 30,061 to 30,070 of 220,100 articles

Unlocking non-model organisms with CRISPR-Cas: A roadmap for sustainable biotechnology.

Biotechnology advances
The reliance on model organisms in biotechnology has advanced our understanding of fundamental biology but has failed to capture the complexity of real-world ecosystems, limiting applications in agriculture, biomanufacturing, and environmental remedi... read more 

Ensemble Machine Learning Models for Predicting Death in Post-Acute Skilled Nursing Facilities.

Journal of the American Medical Directors Association
OBJECTIVE: Patients discharged from hospitals to skilled nursing facilities (SNFs) for post-acute care are at high risk for adverse outcomes, including death. We aimed to develop machine learning (ML) models that predict death within 30 or 180 d afte... read more 

Navigating the Use of Artificial Intelligence in Manuscripts.

Nursing for women's health
Artificial intelligence use in publishing has benefits, but concerns around intellectual ownership, authorship, and scholarly authenticity must be addressed. read more 

Carbon mitigation potential of deploying energy crops on marginal lands in China under climate change scenarios.

Journal of environmental management
Carbon benefit assessment of energy crop deployment (ECD) is crucial for achieving climate commitments, yet the current lack of a comprehensive evaluation framework integrating climate change impacts creates knowledge gaps that may undermine policyma... read more 

Designing green value chain configurations for enhanced performance in start-ups: The enabling role of digital service innovation.

Journal of environmental management
The implications of green value chain design for business performance are a central and highly relevant issue for companies. In this context, Digital Service Innovation (DSI) emerges as a form of technological innovation that enables firms to more ef... read more 

Construction of Rheumatoid Arthritis-Associated Interstitial Lung Disease diagnostic model and identification of biomarkers based on a multi-omics integration strategy of machine learning.

Clinics (Sao Paulo, Brazil)
OBJECTIVE: This study aimed to develop and validate a machine learning model integrating multi-omics and radiomics data to improve diagnostic accuracy and identify potential biomarkers for Rheumatoid Arthritis-Associated Interstitial Lung Disease (RA... read more 

Metabolomic Atlas of Cardiovascular Diseases: Mapping Shared and Specific Signatures.

JACC. Advances
BACKGROUND: Cardiovascular disease (CVD) remains the leading global cause of death. While metabolic dysregulation is central to CVD pathogenesis, the extent to which distinct clinical subtypes exhibit unique or shared metabolic signatures remains unc... read more 

Speech-based digital biomarkers for early etiological stratification of Alzheimer's disease and frontotemporal degeneration: a biomarker-confirmed prospective study.

The journal of prevention of Alzheimer's disease
BACKGROUND: Early differentiation between Alzheimer's disease (AD) and frontotemporal lobar degeneration (FTLD) is a prerequisite for secondary prevention and targeted trial enrollment, yet remains challenging at disease onset. We investigated whethe... read more 

BloomSight: An ultra-high-frequency phenotyping framework for diurnal flowering dynamics in japonica and indica rice to enable genetic dissection and hybrid-breeding applications.

Plant phenomics (Washington, D.C.)
Rice (Oryza sativa) production underpins food security in many rice-consuming nations. As a critical developmental transition that directly determines yield and grain quality, flowering dates and timing are genetically complex and highly sensitive to... read more 

InGesture: An eight-class inertial sensor dataset for fluid intake and hand-gesture recognition.

Data in brief
Recognizing fine-grained hand and arm gestures, especially those that occur naturally in daily activities, remains a challenge in wearable-based human activity recognition. This dataset supports fine-grained gesture recognition using wearable inertia... read more