Accurate and timely prediction of high-flow nasal cannula (HFNC) treatment failure in patients with acute hypoxemic respiratory failure (AHRF) can lower patient mortality. Previous studies have highlighted inconsistencies in the predictive performanc... read more
Shade tolerance is crucial for developing soybean varieties that are well-suited for intercropping systems. This study evaluated 460 soybean accessions from a global germplasm collection at two contrasting locations in China: Heilongjiang (HLJ) and I... read more
BACKGROUND: Determining cholecystitis severity via the clinically validated Parkland Grading Scale (PGS) is useful for predicting case difficulty and likelihood of postoperative complications. A panel assessment by multiple surgeons can reduce variat... read more
Inference of molecules with desired activities/properties is one of the key and challenging issues in cheminformatics and bioinformatics. For that purpose, our research group has recently developed a state-of-the-art framework mol-infer for molecular... read more
Malnutrition continues to be a major threat to health, particularly maternal and child health in low resource settings, resulting in impairments in cognitive function, growth, and development, and metabolic diseases later in life. Nutritional assessm... read more
BACKGROUND: Insulin resistance is a key precursor to diabetes and increases the risk of cardiovascular diseases. Traditional assessment methods rely on multiple invasive tests. Developing an AI model based on minimally invasive tests, especially usin... read more
BACKGROUND: Systematic reviews (SRs) are a cornerstone in providing high-quality evidence that guides policy and practice across various disciplines. Despite their critical role, SRs require substantial financial investment and are constrained by tim... read more
In this research, the extraction conditions for Eichhornia crassipes (Mart.) Solms were optimized using Response Surface Methodology (RSM) and Artificial Neural Network-Genetic Algorithm (ANN-GA) techniques to enhance the biological efficacy of the e... read more
This paper presents a novel approach, ReactorNet, a machine learning framework leveraging thermal neutron flux imaging to enable real-time monitoring of pressurized water reactors (PWRs). By integrating EfficientNetB0 with a hybrid classification-reg... read more
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