Machine learning (ML) models are effective at classifying images across various fields, including biology. However, their performance on biomedical images is often limited by the small size of available datasets that are constrained by the time-consu... read more
High genomic variability among viral species makes sequence classification highly dependent on multiple sequence alignment (MSA) methods, which are both computationally intensive and sensitive to data quality issues. To provide a more efficient and r... read more
Accurate identification of unknown pathogens is critical for medicine and public health, yet current metagenomic workflows remain heavily dependent on specialized bioinformatics expertise and manual interpretation, creating substantial bottlenecks in... read more
Overcrowding of emergency departments (ED) is now a problem of global health care concern due to the increase in patients. Triage systems have been established for a considerable period. However, their reliability in choosing the appropriate patient ... read more
Objective: Electronic Health Record (EHR)-based trial emulation can support translation of randomized clinical trial (RCT) evidence into practice, yet emulations often diverge from published RCT results. We hypothesized that these discrepancies are s... read more
Objective: This study investigates whether incorporating physiological coupling concepts into neural network design can support stable and interpretable feature learning for histopathological image classification under limited data conditions. Method... read more
Aptamers are single-stranded oligonucleotides that bind molecular targets with high affinity and specificity. However, their discovery remains time-consuming, expensive, and susceptible to experimental biases. Here we present AptaBLE, a deep learning... read more
PURPOSE: Oligometastatic prostate cancer (oligoPCa) represents a clinical state of limited metastatic spread in which metastasis-directed therapy (MDT) may offer meaningful disease control either alone or with systemic therapy. As imaging, systemic t... read more
Magnetic resonance imaging clinics of North America
Feb 20, 2026
Accelerated 30 min cardiac magnetic resonance (CMR) examinations combining cutting-edge acquisition, reconstruction, and workflow methods have the potential to expand democratization to CMR, increase throughput, enhance patient experience, and mainta... read more
Magnetic resonance imaging clinics of North America
Feb 20, 2026
Strain imaging, performed with echocardiography and cardiovascular magnetic resonance (CMR), is a noninvasive technique for detecting subclinical myocardial dysfunction across the heart failure spectrum, in various cardiomyopathies, and within the fi... read more
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