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This paper develops an AR system for vitreoretinal surgery using CNNs and edge computing to align pre-op and intra-op images in real-time, achieving 14 FPS and high registration accuracy.

This study shows that weakly alkaline conditions can degrade aflatoxins by opening their lactone ring, reducing contamination without harsh chemicals.

This study shows that substrate curvature affects macrophage cytoskeletal dynamics and immunophenotype, offering a localized strategy to modulate macrophage behavior.

This paper introduces a hybrid biomaterial that enhances cell migration and self-assembly in bioprinted constructs, enabling complex tissue-like structures with improved vascular network formation.

This study develops bioactive hydrogels containing cell-derived extracellular matrix for drug-free and cell-free bone and cartilage repair, showing induction of stem cell differentiation.

The paper introduces KCM, an optimization framework for protein and peptide design that outperforms generative models by enabling precise backbone geometry control with minimal computational resources.

This paper develops a rapid antigen test using upconversion nanoparticles for COVID-19, achieving high sensitivity and specificity in clinical trials.

This paper develops an injectable hydrogel with antibacterial properties for tissue engineering applications, showing good biocompatibility and ability to form 3D cell aggregates.

This study shows that GABA treatment reduces estradiol-stimulated breast cancer cell growth and prevents estradiol-induced breast tumorigenesis in a mouse model.

The paper develops a chloroplast media to sustain ex vivo chloroplast function using metabolic modeling and isolated chloroplasts from Chlamydomonas reinhardtii.

This paper develops a non-invasive optogenetics method using ultrasound-triggered nanotransducers to modulate Parkinsonian rats' neurons and improve movement dysfunction.

This study shows dicarbonyl stress increases cancer cell intravasation by degrading ECM and promoting endothelial dysfunction in a microfluidic model.

This paper introduces a deep learning method to correct optical aberrations in fluorescence microscopy, improving image quality and enabling better downstream analysis.

This study uses high-throughput microfluidic technology to enrich CTCs from large blood volumes, enabling detailed molecular and morphological analysis of tumor cells in metastatic cancer patients.

This study compares the biological response of allograft and autograft ACL reconstructions to cyclic loading and finds no difference in remodeling or immune cell markers.

This paper develops tunable macroporous hydrogels via phase separation for cell culture, showing improved cell spreading and migration in porous systems.

This paper develops a 3D bioprinted liver fibrosis model using GelMA and dECM, validated with methotrexate to induce fibrosis and assess functional and molecular changes.

This study compares glenohumeral stability formulations in musculoskeletal simulations against in vivo contact forces, finding that penalty-based formulations better predict contact force directions than constraint-based approaches.

This study enhances the affinity and cytotoxicity of an anti-polysialic acid antibody through rational design and directed evolution, resulting in more potent variants.