We review the evolution, achievements, and limitations of the current paradigm shift in
medicine, from the “one‐size‐fits‐all” model to “Precision Medicine.” Precision, or …

Introduction: Recently, cancer immunotherapy has shown considerable success, but due to
the complexity of the immune-cancer interactions, clinical outcomes vary largely between …

Encouraging advances are being made in cancer immunotherapy modeling, especially in
the key areas of developing personalized treatment strategies based on individual patient …

Despite its great promise, personalized oncology still faces many hurdles, and it is
increasingly clear that targeted drugs and molecular biomarkers alone yield only modest …

Convergence science teams integrating clinical, biological, engineering, and computational
expertise are inventing new forecast systems to monitor and predict evolutionary changes in …

Mathematical modeling has become a valuable tool in the continued effort to understand,
predict, and ultimately treat a wide range of cancers in recent years. 1, 2 By describing …

Immuno-oncology holds promise for transforming patient care having achieved durable
clinical response rates across a variety of advanced and metastatic cancers. Despite these …

Although therapeutic vaccination often induces markers of tumor-specific immunity,
therapeutic responses remain rare. An improved understanding of patient-specific dynamic …

The immune system is by definition multi-scale because it involves biochemical networks
that regulate cell fates across cell boundaries, but also because immune cells communicate …

The goal of cancer immunotherapy is to boost a patient's immune response to a tumour. Yet,
the design of an effective immunotherapy is complicated by various factors, including a …