Reviews & Analysis

Overcoming key hurdles for the development of next-generation anaerobic cultivation methods could have major impacts on microbial community research and applications.

Maglia and colleagues discuss advances in nanopore technology en route to single-molecule protein sequencing

Recent clinical trials testing CAR T cells on solid tumors have yielded promising outcomes that can be enhanced with further CAR engineering.

With six approved drugs, siRNA is now an established therapeutic modality poised for expansion.

A retrospective analysis shows that the IRA will not result in a large-scale defunding of biopharmaceutical innovation.

A comprehensive look at wearable sweat sensors defines their capabilities.

Shortages of CAR T cells should be alleviated by distributed manufacturing, according to Elsallab and Maus.

A historical perspective on how next-generation sequencing chemistry was developed.

Wearable sensors inform on aquaculture and marine-conservation strategies.

An analysis of Massachusetts Institute of Technology intellectual property licenses in the life sciences not only provides a window on commercialization success but also a case study for transparency in understanding technology transfer performance.

The Consortium on Adventitious Agent Contamination in Biomanufacturing (CAACB) provides a comprehensive and forward-looking overview of industry’s experience with viral contamination of cell cultures used to produce recombinant proteins.

Tissue-like electronic interfaces that form stable long-term interfaces in the brain will enable treatment of chronic neurological and psychiatric diseases.

Detection and mitigation of strain instability in industrial microbiology scale-up.

Chien et al. reflect on lessons learned following the recent announcement that 31 papers from the Anversa laboratory on cardiac cell therapy are being retracted.

This paper presents standards and best practices for reporting genome sequences of uncultivated viruses.

Machine learning and natural language processing methods are applied to learn from PubMed searches and improve user experience.

Brendan Frey and colleagues provide a personal overview of the machine learning field and in particular deep learning. They outline the technical challenges in applying machine learning to different types of biological and biomedical data and go on to discuss the challenges in implementing these approaches in the clinical realm, in drug discovery programs and within regulatory agencies.

Metabolomics activity screening can identify small-molecule metabolites that are readily available and can be used to alter phenotypes, including stem cell differentiation, T-cell survival, oligodendrocyte maturation, and insulin signaling.

An analysis of biotech and pharma stock prices since 1930 reveals sharp differences in the risk-adjusted returns of the two sectors.