AIMC Topic: Humans

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AngioPy Segmentation: An open-source, user-guided deep learning tool for coronary artery segmentation.

International journal of cardiology
BACKGROUND: Quantitative coronary angiography (QCA) typically employs traditional edge detection algorithms that often require manual correction. This has important implications for the accuracy of downstream 3D coronary reconstructions and computed ...

Investigation of a surrogate measure-based safety index for predicting injury crashes at signalized intersections.

Traffic injury prevention
OBJECTIVES: The paper develops a machine learning-based safety index for classifying traffic conflicts that can be used to estimate the frequency of signalized intersection crashes, with a focus on the more severe ones that result in fatal and severe...

Evaluating the effectiveness of safety countermeasures at highway-railway grade crossing based on a machine learning framework.

Traffic injury prevention
OBJECTIVE: This research aims to cluster similar highway-railway grade crossings (HRGCs) to examine the safety countermeasures at HRGCs.

Intelligence: Natural, artificial, or what?

Bio Systems
We consider the competing attributes of natural intelligence (NI) and artificial intelligence (AI). Attention is paid to conceptual, theoretical, stylistic and structural aspects of both, and non-human intelligence. Intelligence is related to informa...

Paying attention to uncertainty: A stochastic multimodal transformers for post-traumatic stress disorder detection using video.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: Post-traumatic stress disorder is a debilitating psychological condition that can manifest following exposure to traumatic events. It affects individuals from diverse backgrounds and is associated with various symptoms, inc...

Explainable biology for improved therapies in precision medicine: AI is not enough.

Best practice & research. Clinical rheumatology
Technological advances and high-throughput bio-chemical assays are rapidly changing ways how we formulate and test biological hypotheses, and how we treat patients. Most complex diseases arise on a background of genetics, lifestyle and environment fa...

Efficacy of a whole slide image-based prediction model for lymph node metastasis in T1 colorectal cancer: A systematic review.

Journal of gastroenterology and hepatology
BACKGROUND AND AIM: Accurate stratification of the risk of lymph node metastasis (LNM) following endoscopic resection of submucosal invasive (T1) colorectal cancer (CRC) is imperative for determining the necessity for additional surgery. In this syst...

ReBiA-Robotic Enabled Biological Automation: 3D Epithelial Tissue Production.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
The Food and Drug Administration's recent decision to eliminate mandatory animal testing for drug approval marks a significant shift to alternative methods. Similarly, the European Parliament is advocating for a faster transition, reflecting public p...

Identification of Key Genes in Fetal Gut Development at Single-Cell Level by Exploiting Machine Learning Techniques.

Proteomics
The study of fetal gut development is critical due to its substantial influence on immediate neonatal and long-term adult health. Current research largely focuses on microbiome colonization, gut immunity, and barrier function, alongside the impact of...

Machine learning algorithms and biomarkers identification for pancreatic cancer diagnosis using multi-omics data integration.

Pathology, research and practice
PURPOSE: Pancreatic cancer is a lethal type of cancer with most of the cases being diagnosed in an advanced stage and poor prognosis. Developing new diagnostic and prognostic markers for pancreatic cancer can significantly improve early detection and...