Artificial Intelligence Medical Compendium

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

Showing 851 to 860 of 160,243 articles

Machine learning improves post-transplantation hepatocellular carcinoma recurrence prediction.

Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society Jul 15, 2025
BACKGROUND: To enhance post-transplantation hepatocellular carcinoma (HCC) recurrence prediction by evaluating additional novel risk factors and leveraging state-of-the-art machine learning (ML) algorithms. read more 

BertADP: a fine-tuned protein language model for anti-diabetic peptide prediction.

BMC biology Jul 15, 2025
BACKGROUND: Diabetes is a global metabolic disease that urgently calls for the development of new and effective therapeutic agents. Anti-diabetic peptides (ADPs) have emerged as a research hotspot due to their therapeutic potential and natural safety... read more 
Hypoglycemic Agents Humans Peptides Computational Biology

Machine learning approaches for forecasting compressive strength of high-strength concrete.

Scientific reports Jul 15, 2025
Identifying the mechanical properties of High Strength Concrete (HSC), particularly compressive strength, is critical for safety purposes. Concrete compressive strength is determined by using laboratory experiments, which are costly and time-consumin... read more 

Deep phenotyping of health-disease continuum in the Human Phenotype Project.

Nature medicine Jul 15, 2025
The Human Phenotype Project (HPP) is a large-scale deep-phenotype prospective cohort. To date, approximately 28,000 participants have enrolled, with more than 13,000 completing their initial visit. The project is aimed at identifying novel molecular ... read more 

Machine learning survival models for Non-alcoholic fatty liver disease based on a health checkup cohort.

BMC gastroenterology Jul 15, 2025
OBJECTIVES: This study aimed to develop an accurate prediction model for the risk of Non-alcoholic fatty liver disease (NAFLD) using the random survival forests (RSF), and to investigate the distribution of NAFLD risk with time. read more 
Female Non-alcoholic Fatty Liver Disease Risk Factors Proportional Hazards Models Retrospective Studies Risk Assessment Male Machine Learning Humans Middle Aged Adult

Exploring novel molecular mechanisms underlying recurrent pregnancy loss in decidual tissues.

Scientific reports Jul 15, 2025
Recurrent pregnancy loss (RPL), which affects approximately 2.5% of reproductive-aged women, remains idiopathic in more than 50% of cases, necessitating mechanistic insights and biomarkers. Three RPL decidual tissue transcriptomic datasets (GSE113790... read more 
Humans Biomarkers Macrophages Decidua Transcriptome Female Abortion, Habitual Gene Expression Profiling Adult Gene Regulatory Networks Pregnancy

Domain-incremental white blood cell classification with privacy-aware continual learning.

Scientific reports Jul 15, 2025
White blood cell (WBC) classification plays a vital role in hematology for diagnosing various medical conditions. However, it faces significant challenges due to domain shifts caused by variations in sample sources (e.g., blood or bone marrow) and di... read more 
Humans Deep Learning Algorithms Leukocytes Privacy

Combined Study of Behavior and Spike Discharges Associated with Negative Emotions in Mice.

Neuroscience bulletin Jul 15, 2025
In modern society, people are increasingly exposed to chronic stress, leading to various mental disorders. However, the activities of brain regions, especially neural firing patterns related to specific behaviors, remain unclear. In this study, we in... read more 

Learning quality-guided multi-layer features for classifying visual types with ball sports application.

Scientific reports Jul 15, 2025
Nowadays, breast cancer is one of the leading causes of death among women. This highlights the need for precise X-ray image analysis in the medical and imaging fields. In this study, we present an advanced perceptual deep learning framework that extr... read more 
Female Breast Neoplasms Support Vector Machine Image Processing, Computer-Assisted Humans Visual Perception Deep Learning

Using machine learning algorithms to predict risk factors of heart failure after complete mesocolic excision in colorectal cancer patients.

Scientific reports Jul 15, 2025
Following complete mesocolic excision (CME), heart failure (HF) emerges as a significant complication, exerting substantial impacts on both short-term and long-term patient prognoses. The primary objective of our investigation was to develop a machin... read more 
Colorectal Neoplasms Male Aged ROC Curve Heart Failure Postoperative Complications Middle Aged Algorithms Risk Factors Female Humans Machine Learning Colectomy
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