After several decades, therapeutic cancer vaccines now show signs of efficacy and potential
to help patients resistant to other standard-of-care immunotherapies, but they have yet to …

Recent advances in machine learning and experimental biology have offered breakthrough
solutions to problems such as protein structure prediction that were long thought to be …

Immunotherapy failures can result from the highly suppressive tumour microenvironment
that characterizes aggressive forms of cancer such as recurrent glioblastoma (rGBM),. Here …

The identification of the mechanisms by which T-cell receptors (TCRs) interact with human
antigens provides a crucial opportunity to develop new vaccines, diagnostics and …

T cells express T cell receptors (TCRs) composed of somatically recombined TCRα and
TCRβ chains, which mediate recognition of major histocompatibility complex (MHC)–antigen …

The lack of comprehensive diagnostics and consensus analytical models for evaluating the
status of a patient's immune system has hindered a wider adoption of immunoprofiling for …

Antiretroviral therapy is highly effective in suppressing human immunodeficiency virus (HIV).
However, eradication of the virus in individuals with HIV has not been possible to date …

Neoantigens play a key role in the recognition of tumour cells by T cells; however, only a
small proportion of neoantigens truly elicit T-cell responses, and few clues exist as to which …

Deep learning algorithms have been utilized to achieve enhanced performance in pattern-
recognition tasks. The ability to learn complex patterns in data has tremendous implications …

Recent advances in neoantigen research have accelerated the development and regulatory
approval of tumor immunotherapies, including cancer vaccines, adoptive cell therapy and …