Guarding against the uncertain perils of AI

Nature Biomedical Engineering, Published online: 28 June 2023; doi:10.1038/s41551-023-01064-8The development of machine-learning systems for safer, robust and fairer outcomes should leverage fine-tuning, generalization, explainability …

Nature Biomedical Engineering, Published online: 28 June 2023; doi:10.1038/s41551-023-01064-8

The development of machine-learning systems for safer, robust and fairer outcomes should leverage fine-tuning, generalization, explainability and metrics of uncertainty.

Mapping tissue heterogeneity in solid tumours using PET–MRI and machine learning

Nature Biomedical Engineering, Published online: 05 June 2023; doi:10.1038/s41551-023-01046-wDemultiplexing PET–MRI data of solid tumours using machine learning allows the spatial characterization of intratumour tissue heterogeneity in…

Nature Biomedical Engineering, Published online: 05 June 2023; doi:10.1038/s41551-023-01046-w

Demultiplexing PET–MRI data of solid tumours using machine learning allows the spatial characterization of intratumour tissue heterogeneity in mice and humans. Predicted maps of tissue subtypes within the tumour could aid in conducting image-guided biopsies and provide valuable insights linking the outcome of cancer therapies with phenotypic heterogeneity.

A knockout run for CRISPRed cells

Nature Biomedical Engineering, Published online: 19 May 2023; doi:10.1038/s41551-023-01051-zThe continuing optimization of the safety and applicability of CRISPR for ex vivo genome editing will broaden the prospects of cell therapies.

Nature Biomedical Engineering, Published online: 19 May 2023; doi:10.1038/s41551-023-01051-z

The continuing optimization of the safety and applicability of CRISPR for ex vivo genome editing will broaden the prospects of cell therapies.

Targeted knock-ins with pseudovirus for the stable expression of large transgenes

Nature Biomedical Engineering, Published online: 12 May 2023; doi:10.1038/s41551-023-01044-yWe engineered integrase-deficient lentiviruses to act as vectors for the delivery of large gene knock-ins via homology-directed repair. This te…

Nature Biomedical Engineering, Published online: 12 May 2023; doi:10.1038/s41551-023-01044-y

We engineered integrase-deficient lentiviruses to act as vectors for the delivery of large gene knock-ins via homology-directed repair. This technology enables the non-cytotoxic, targeted insertion of difficult-to-express transgenes into genomic loci that are essential to cell survival, thereby overcoming the gene silencing that otherwise limits primary immune cell engineering.

A highly sensitive and robust one-pot assay for the detection of microRNAs

Nature Biomedical Engineering, Published online: 11 May 2023; doi:10.1038/s41551-023-01043-zWe developed exponentially amplified rolling circle amplification with CRISPR–Cas12a as a one-pot, isothermal assay for microRNA detection. Thi…

Nature Biomedical Engineering, Published online: 11 May 2023; doi:10.1038/s41551-023-01043-z

We developed exponentially amplified rolling circle amplification with CRISPR–Cas12a as a one-pot, isothermal assay for microRNA detection. This method has single-digit femtomolar sensitivity and single-nucleotide specificity, and can be deployed for point-of-care testing. The assay has been adapted for the microRNA profiling of extracellular vesicles, which is used in the diagnosis of pancreatic cancer.