Dietary strategies are increasingly recognized as important modulators of breast cancer outcomes, acting through effects on metabolic regulation, weight management, hormone signalling, immune function, and the gut microbiome. However, breast cancer h... read more
Observer-independent assessment of nociceptive states is particularly important in non-communicative or vulnerable patient populations, where self-report is unavailable. In this proof-of-concept study, we explored whether exhaled breath metabolomics,... read more
Cell-free DNA (cfDNA) in plasma provides attractive opportunities for early cancer diagnosis. This study aimed to establish gastric cancer (GC) artificial intelligence algorithms (GC-AIAs) based on cfDNA fragmentome for GC's early detection and subty... read more
The aeromedical certification of commercial airline pilots relies on periodic, self-disclosure-dependent assessments. However, this reactive model lacks the temporal resolution required to capture the gradual behavioural and physiological perturbatio... read more
OBJECTIVE: Predicting the surgical time required for mandibular third molar extraction is challenging because patient-, tooth-, and operator-related factors interact in complex ways. This study aimed to develop an interpretable machine-learning model... read more
OBJECTIVE: To validate "Glandy LID," a novel marker-free, deep learning-based software designed for the automated assessment of eyelid morphology using intrinsic corneal diameter for calibration. DESIGN: Multicenter retrospective study. PARTICIPANTS:... read more
The fisheries sector plays a vital role in the economy and food security of Bangladesh. Bangladesh is one of the leading countries in inland fish production. Bangladesh gains sustainable economic benefits from aquaculture and fisheries. This sector m... read more
Thermal runaway is one of the most critical safety risks in lithium-ion batteries. Mitigating this risk requires not only detecting imminent failures but also effectively discriminating early-stage chemical instabilities. With the growing complexity ... read more
Stimuli-responsive nanostructures are a revolutionary breakthrough in the controlled delivery of drugs, allowing for their precise spatiotemporal control. These intelligent materials are designed to respond to internal stimuli (such as pH, redox grad... read more
This study presents a systematic decision-making approach for tuning hyperparameters of machine learning (ML) models that employ the cross-validation technique in their learning process. It provides a more efficient and precise alternative to convent... read more
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