AIMC Topic: Artificial Intelligence
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Development and Validation an AI Model to Improve the Diagnosis of Deep Infiltrating Endometriosis for Junior Sonologists.
Ultrasound in medicine & biology
Apr 17, 2025
OBJECTIVE: This study aims to develop and validate an artificial intelligence (AI) model based on ultrasound (US) videos and images to improve the performance of junior sonologists in detecting deep infiltrating endometriosis (DE).
Disturbance and stability dynamics in microbial communities for environmental biotechnology applications.
Current opinion in biotechnology
Apr 17, 2025
Microbial communities are corner stones of environmental biotechnology, driving essential processes such as waste degradation, pollutant removal, and nutrient cycling, all fundamental to industrial bioprocesses and sustainability. The structure and f...
Mechanistic study of Lonicerae Japonicae Flos (Caprifoliaceae) in non-small cell lung cancer prevention and treatment through integrative pharmacology, multi-machine learning, artificial intelligence, and in vitro experiments.
Journal of ethnopharmacology
Apr 17, 2025
ETHNOPHARMACOLOGICAL RELEVANCE: Lonicerae Japonicae Flos (Caprifoliaceae) (LJF), an herb with the homology of medicine and food, is traditionally utilized for its heat-clearing, detoxifying, and anticancer properties. Yet, the mechanism by which LJF ...
Advances in artificial intelligence-envisioned technologies for protein and nucleic acid research.
Drug discovery today
Apr 17, 2025
Artificial intelligence (AI) and machine learning (ML) have revolutionized pharmaceutical research, particularly in protein and nucleic acid studies. This review summarizes the current status of AI and ML applications in the pharmaceutical sector, fo...
Artificial intelligence in preclinical research: enhancing digital twins and organ-on-chip to reduce animal testing.
Drug discovery today
Apr 17, 2025
Artificial intelligence (AI) is reshaping preclinical drug research offering innovative alternatives to traditional animal testing. Advanced techniques, including machine learning (ML), deep learning (DL), AI-powered digital twins (DTs), and AI-enhan...
Circular RNA discovery with emerging sequencing and deep learning technologies.
Nature genetics
Apr 17, 2025
Circular RNA (circRNA) represents a type of RNA molecule characterized by a closed-loop structure that is distinct from linear RNA counterparts. Recent studies have revealed the emerging role of these circular transcripts in gene regulation and disea...
Existential risk narratives about AI do not distract from its immediate harms.
Proceedings of the National Academy of Sciences of the United States of America
Apr 17, 2025
There is broad consensus that AI presents risks, but considerable disagreement about the nature of those risks. These differing viewpoints can be understood as distinct narratives, each offering a specific interpretation of AI's potential dangers. On...
Classification of Grades of Subchondral Sclerosis from Knee Radiographic Images Using Artificial Intelligence.
Sensors (Basel, Switzerland)
Apr 17, 2025
Osteoarthritis (OA) is the most common joint disease, affecting over 300 million people worldwide. Subchondral sclerosis is a key indicator of OA. Currently, the diagnosis of subchondral sclerosis is primarily based on radiographic images; however, r...
Applying artificial intelligence to rare diseases: a literature review highlighting lessons from Fabry disease.
Orphanet journal of rare diseases
Apr 17, 2025
BACKGROUND: Use of artificial intelligence (AI) in rare diseases has grown rapidly in recent years. In this review we have outlined the most common machine-learning and deep-learning methods currently being used to classify and analyse large amounts ...
Exploring the influence of artificial intelligence integration on personalized learning: a cross-sectional study of undergraduate medical students in the United Kingdom.
BMC medical education
Apr 17, 2025
BACKGROUND: With the integration of Artificial Intelligence (AI) into educational systems, its potential to revolutionize learning, particularly in content personalization and assessment support, is significant. Personalized learning, supported by AI...
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