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The history and future potential of DNA sequencing, including the development of the underlying technologies and the expansion of its areas of application, are reviewed.
A review of the recent developments in reprogramming the genetic code of cells and organisms to include non-canonical amino acids in precisely engineered proteins.
Quantum machine learning software could enable quantum computers to learn complex patterns in data more efficiently than classical computers are able to.
The era of fully fledged quantum computers threatens to destroy internet security as we know it; the ways in which modern cryptography is developing solutions are reviewed.
To enable a quantum computer to solve practical problems more efficiently than classical computers, quantum programming languages and compilers are required to translate quantum algorithms into machine code; here the currently available software is reviewed.
The leading proposals for converting noise-resilient quantum devices from memories to processors are compared, paying attention to the relative resource demands of each.
The standard model of particle physics is incomplete, but experimental particle decays that occur through a ‘flavour-changing neutral current’ process, which show discrepancies to standard model predictions, may offer hints to the existence of new particles.
Recent measurements of B-meson decays in which tau leptons are produced might challenge the standard model assumption that interactions of leptons differ only because of their different masses.
The use of genetically engineered T cells in the treatment of cancer is reviewed, with particular focus on anti-CD19 chimaeric antigen receptor therapy, providing a summary of past progress and current status, and potential future directions.
Coherence observed in chemical and biological systems suggests that even in the presence of disorder and noise the phenomenon may yield transformative ways for improving function.