Engineered blood vessels harness artificial intelligence (AI) and magnetoelasticity to continuously monitor blood flow and stenosis in real time.

Ovrlpy identifies overlapping cell signals in the vertical dimension of spatial transcriptomics data.

An illustration of lipid nanoparticles (green circles) targeting the lung, designed using neural networks. Witten et al. present a method (LiON) using neural networks for lipid discovery and ...

A model of two zinc-finger nucleases bound to DNA overlaid on an image of a metaphase chromosome spread. The side chains shown are key to the dimer interface of the cleavage domains, according to ...

Wearable sensors are evolving to provide accurate, continuous and wireless monitoring of our health and disease states. Using designs and materials that interface seamlessly with skin, accessing a ...

Optimizing guide RNA design for Cas13. With data from massively parallel screens, Wessels et al. develop computational models to identify optimal guide RNAs for the RNA-targeting CRISPR enzyme Cas13d.

Scanning electron micrograph of a heart-forming organoid showing a myocardial layer (pink) separated by a thin endocardial layer (blue) from an anterior foregut endoderm and vascular layer (cinnamon); ...

Increasing access to biotech products for animal agriculture in Sub-Saharan Africa through partnerships José de la Fuente Christian Gortázar Justus Rutaisire ...

Analogs of the pancreatic peptide hormone amylin are making strides in obesity as developers zoom in on oral drugs that can emulate or even improve on injectable GLP-1 agonists while avoiding muscle ...

Artist’s impression of a protein translocating through a nanopore. Yu et al. identify conditions that allow complete proteins to translocate through a nanopore when driven by an electroosmotic effect.

A high-definition music video is encoded and stored in DNA. Organick et al. store over 200 MB of information in DNA and develop an error-free approach to randomly access and recover individual files ...

Identifying a sparse, reliable set of biomarkers from large multi-omics datasets: Hédou et al. present a machine learning framework that selects the most reliable biomarkers from large multi-omics ...