Biofilms, structured communities of microbial cells embedded in extracellular polymeric substances, are notorious for their resilience against conventional antimicrobial treatments. They contribute significantly to chronic infections and industrial b...
Pigmentation varies widely across humans and is shaped by melanin quantity, type, and spatial distribution. Retinal pigmentation protects against light-induced damage, yet its genetic and evolutionary bases remain unclear. We developed a deep learnin...
Single-molecule detection (SMD) holds considerable promise in biomedical research. Although atomic force microscopy (AFM) provides an important technique with nanoscale resolution for SMD, its broader application is limited by labeling challenges and...
BACKGROUND: We aimed to determine whether unsupervised machine learning was able to discover latent and possibly clinically-relevant clusters, hidden in dynamic electrical impedance tomography (EIT) images within a population of mechanically ventilat...
The global burden of hepatocellular carcinoma (HCC) has shifted from viral to nonviral etiologies. However, successful antiviral therapy does not fully eliminate the risk of HCC, underscoring the demand for more effective surveillance strategies. Cur...
At-home testing facilitates early screening and longitudinal monitoring of immune disorders, significantly enhancing patient engagement in personalized healthcare management. This convenient self-testing capability primarily stems from advancements i...
Recent advancements in spiking neural networks (SNNs) have drawn inspiration from the human brain's distinctive capabilities, leading to significant impacts on various aspects of our lives and scientific endeavors. The development of hardware-based S...
Journal of chemical information and modeling
Dec 31, 2025
Drug repositioning (DR) reduces the risks and costs of drug development by identifying new uses for approved drugs. The rapid growth of artificial intelligence (AI) has led to many computational models. However, without effective integration, excess ...
Journal of chemical information and modeling
Dec 31, 2025
The accurate and efficient computational identification of interferon-gamma-inducing epitopes (IFNgIE) is a critical bottleneck in the design of next-generation vaccines and immunotherapies. Existing computational models, while adept at learning sequ...
The transplantation of neural progenitor cells derived from induced pluripotent stem cells (iPSCs) has therapeutic potential for the treatment of neurological diseases. However, the functional integration of transplanted iPSC-derived neurons into hos...
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