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This paper uses wavelet transforms and ensemble learning to classify ECGs into five diagnostic classes, achieving an AUC of 0.9233 on the PTB-XL dataset.

CGMD selects a small set of diverse images for fine-tuning pretrained cell segmentation models, achieving performance close to fully supervised methods with minimal annotations.

This study relates shear modulus and relaxometry in intervertebral discs under compression and bending to assess degeneration.

This study compares the biomechanical demands of Nordic hamstring exercise and high-speed running on the biceps femoris long head muscle, finding differences in force, work, and power.

This paper develops humanized extracellular vesicles for efficient RNA delivery, achieving titers comparable to lentiviral vectors with reduced immunogenicity.

This paper introduces AbNatiV2 and p-AbNatiV2, deep learning models for assessing nativeness and pairing likelihood in antibodies and nanobodies, showing improved performance on held-out tests.

This paper demonstrates the feasibility of mesoscopic whole-brain T2*-weighted MRI at 10.5 T using advanced coils and motion-robust sequences, showing improved SNR and quantification precision compared to 7 T.

This paper uses synthetic biology to engineer BCG to produce HMBPP, enhancing Vγ9Vδ2 T cell expansion without feedback inhibition, offering a strategy to improve TB vaccine efficacy.

This study shows how fluid forces and VEGF-C drive lymphangiogenesis and structural remodeling of blind-ended lymphatic vessels using a microphysiological system.

The paper introduces Sniffbot, a biohybrid robot that uses a locust antenna to detect and localize odors more effectively than existing methods.

The paper uses cell barcoding to show that hiPSC lineages have different differentiation outcomes into cardiomyocytes, highlighting lineage-dependent variability in cardiac differentiation.

This paper engineers Corynebacterium glutamicum to produce D-allulose via a phosphorylation-dephosphorylation pathway, achieving a 2.3-fold increase in production in minimal medium.

This paper introduces a method to generate white matter tractograms from FLAIR images without diffusion data, showing it captures structural probabilities similar to diffusion-based tractography.

This paper evaluates if predictive simulations with calibrated muscle models can replicate subject-specific gait features in spinal cord injury patients, finding partial success with functional calibration methods.

This paper measures water content in tumor spheroids using a steel tube resonator, achieving <1% precision error and detecting inter-spheroid variability and responses to kinase inhibition.

This study develops and tests IL12-engineered human PSMA-CAR T cells for advanced prostate cancer, showing improved anti-tumor activity and safety.

This study assesses arrhythmic risk from engineered heart tissue implantation in porcine hearts with different infarct locations using computational models.

This paper introduces a computational pipeline to predict brain swelling after stroke using a mathematical model and deep neural network, achieving an AUC of 0.7 in predicting 3-month outcomes.

The paper evaluates the variability of GAMLSS-based brain charts using analytic and empirical methods, finding low coefficient of variation across most white matter features.

This paper develops a 3D-printed bioadhesive patch with electrical and mechanical properties to modulate cardiac tissue repair and immune responses.