AI Medical Compendium

Analysis and visualization of expression patterns with fuzzy sets as FlowSets.

NAR genomics and bioinformatics Apr 23, 2026

The growing availability of high-dimensional, complex datasets demands analysis methods that are both interpretable and flexible. We introduce FlowSets, a novel framework for identifying and analysing flows-fuzzy, interpretable patterns-across multip... read more

CrunchLLM: Multitask LLMs for Structured Business Reasoning and Outcome Prediction.

Neurocomputing Apr 23, 2026

Predicting the success of startup companies, defined as achieving an exit through acquisition or IPO, is a critical problem in entrepreneurship and innovation research. Datasets such as Crunchbase provide both structured information (e.g., funding ro... read more

Neuroimaging-Based Subgroups in Schizophrenia: A Critical Appraisal of Clustering Studies.

Biological psychiatry global open science Apr 23, 2026

Efforts to define biologically grounded subtypes of schizophrenia have increasingly leveraged neuroimaging data and clustering algorithms. Such approaches aim to capture patient-level heterogeneity with potential clinical and mechanistic relevance. I... read more

3D vessel reconstruction from sparse-view dynamic DSA images via vessel probability guided attenuation learning.

Medical image analysis Apr 23, 2026

Digital Subtraction Angiography (DSA) is one of the gold standards for vascular disease diagnosis. With the help of a contrast agent, time-resolved 2D DSA images deliver comprehensive blood flow information and can be utilized to reconstruct 3D vesse... read more

Depth map filtering method for shape-from-focus recovery based on hybrid network model.

Micron (Oxford, England : 1993) Apr 23, 2026

Shape-from-focus (SFF) is an economically efficient 3D shape recovery technology. As a core module of 3D digital microscopes, its primary goal is to acquire high-quality depth maps. However, the performance of such technology is highly dependent on t... read more

Prediction model for daily feed intake during the growing period in floor-reared Wanxi White Geese based on machine learning and feeding behavior features.

Poultry science Apr 23, 2026

To improve the efficiency of obtaining daily feed intake (DFI) of Wanxi White geese under floor-rearing conditions, this study used 200 Wanxi White geese as experimental animals. Individual information such as body weight (BW) and feeding behavior da... read more

Whole-genome sequencing and machine learning reveal candidate genomic features associated with Listeria monocytogenes persistence in two ice cream facilities.

International journal of food microbiology Apr 23, 2026

Listeria monocytogenes is a major foodborne pathogen responsible for listeriosis. Ice cream has emerged as an important vehicle for L. monocytogenes transmission, yet genomic data describing strain persistence in ice cream production environments in ... read more

Prediction of retained placenta in holstein dairy cows based on machine learning approaches: Comparative analysis of risk factors and predictive algorithms.

Preventive veterinary medicine Apr 23, 2026

Retained placenta (RP) is a common postpartum disorder in dairy cows that significantly impairs reproductive performance and farm profitability. This study aimed to identify key risk factors and develop a robust machine learning (ML)-based predictive... read more

Multidimensional transcriptomic analysis and in vitro experiments dissect the landscape of 2',2',4',4'-Tetrabromodiphenyl ether in bladder cancer progression.

Chemico-biological interactions Apr 23, 2026

2',2',4',4'-Tetrabromodiphenyl ether (BDE-47), the most widespread congener of polybrominated diphenyl ethers, has attracted considerable attention due to its environmental persistence and extensive use. Although epidemiological data associate BDE-47... read more

Adapting the REVEAL Lite 2 score to the pediatric population through machine learning: insights from the REHIPED registry for pediatric pulmonary hypertension.

Revista espanola de cardiologia (English ed.) Apr 23, 2026

INTRODUCTION AND OBJECTIVES: Risk scores for pulmonary hypertension (PH) have been proven useful in adults. However, no risk score has been validated in pediatric populations. Our aim was to adapt the REVEAL Lite 2 score to pediatrics, including grou... read more

Artificial Intelligence Medical Compendium