Inverse problems in statistical physics are motivated by the challenges of 'big data'in
different fields, in particular high-throughput experiments in biology. In inverse problems, the …

The face of evolutionary biology is changing: from reconstructing and analysing the past to
predicting future evolutionary processes. Recent developments include prediction of …

Checkpoint blockade immunotherapies enable the host immune system to recognize and
destroy tumour cells. Their clinical activity has been correlated with activated T-cell …

Our understanding of cancer is being transformed by exploring clonal diversity, drug
resistance, and causation within an evolutionary framework. The therapeutic resilience of …

A new ecologically inspired paradigm in cancer treatment known as “adaptive therapy”
capitalizes on competitive interactions between drug-sensitive and drug-resistant subclones …

Computational models can be applied to optimize treatment schedules and model treatment
responses in cancer therapy. In this Review, we provide an overview of such computational …

Control interventions steer the evolution of molecules, viruses, microorganisms or other cells
towards a desired outcome. Applications range from engineering biomolecules and …

Purpose: Integration of evolutionary dynamics into systemic therapy for metastatic cancers
can prolong tumor control compared with standard maximum tolerated dose (MTD) …

Evolved resistance to one antibiotic may be associated with" collateral" sensitivity to other
drugs. Here, we provide an extensive quantitative characterization of collateral effects in …

Multi-species microbial communities are widespread in natural ecosystems. When
employed for biomanufacturing, engineered synthetic communities have shown increased …