Machine learning (ML) modeling on mass spectrometry (MS)-based shotgun data facilitates feature selection and disease modeling. However, batch-specific models often struggle with limited transferability and generalizability, necessitating data integr...
Proceedings of the National Academy of Sciences of the United States of America
Nov 25, 2025
Light-field microscopy (LFM) enables high-throughput functional imaging by scanlessly encoding entire volumes in single snapshots. However, LFM's computational burden and vulnerability to scattering limit its application to biological imaging. We pre...
The environmental pollutant Benzo[a]pyrene (B[a]P) and its ultimate metabolite B[a]P-7,8-diol-9,10-epoxide (BPDE) exhibit neurotoxic effects, yet the underlying molecular mechanisms remain enigmatic. Recently, ferroptosis has emerged as a potential p...
Proceedings of the National Academy of Sciences of the United States of America
Nov 24, 2025
Cryoelectron tomography (cryo-ET) enables three-dimensional visualization of molecular structures within tissue and intact cells, providing a powerful tool for studying the spatial organization of biological components at nanometer resolution. Realiz...
Proceedings of the National Academy of Sciences of the United States of America
Nov 21, 2025
Information processing in the brain relies on the transmission of spikes through chemical synapses whose efficacies often depend on their recent firing history. While effects of such short-term plasticity on neural information processing have long be...
Proceedings of the National Academy of Sciences of the United States of America
Nov 21, 2025
Cells in tissues navigate fibrous environments fundamentally differently than they do on flat substrates, but the establishment of cell forces in physiological fibrous settings remains poorly understood. Although factors such as the stiffness of the ...
BACKGROUND: Skeletal muscle is a dynamic tissue capable of structural and metabolic remodeling in response to physiological and pathological stimuli. These adaptations are central to understanding the mechanisms underlying conditions such as genetic ...
BACKGROUND: Despite decades of therapeutic development, osteosarcoma survival remains poor. Although berberine (BBR) shows anti-tumor activity, its efficacy is limited. We addressed this through structural modification and machine learning-guided dis...
Myocardial ischemia-reperfusion injury (MIRI) involves multifaceted pathogenic mechanisms, including inflammatory responses, immune dysregulation, and emerging forms of programmed cell death such as PANoptosis. However, the precise regulatory genes l...
Signature-based protein detection coupled with machine learning algorithms has revolutionized traditional sensing methods, providing rapid, inexpensive, and selectivity-driven detection without the use of specialized equipment. This strategy leverage...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.