Theragnostics is a treatment strategy that combines therapeutics with diagnostics. It
associates both a diagnostic test that identifies patients most likely to be helped or harmed …

All of medicine aspires to be precise, where a greater understanding of individual data will
lead to personalized treatment and improved outcomes. Prompted by specific examples in …

Advances in molecular and computational methods have opened new biomarker-based
approaches to precision medicine in critically ill patients, but several challenges remain …

By 2050, intensive care medicine will evolve from reliance on treatment protocols,
guidelines, consensus definitions, and organ support to regularly applying the principles of …

Recent advances in technology and better understanding of mechanisms underlying
disease are beginning to enable us to better characterize critically ill patients. Instead of …

Objective: Severity scores such as Acute Physiology and Chronic Health Evaluation II have
been advocated as entry criteria for clinical trials and in clinical decision-making. We present …

In the last 20 years, survival among patients with acute respiratory distress syndrome
(ARDS) has increased substantially with advances in lung-protective ventilation and …

As big data, machine learning, and artificial intelligence continue to penetrate into and
transform many facets of our lives, we are witnessing the emergence of these powerful …

Objective: To determine the feasibility and potential usefulness of mathematical models in
evaluating immunomodulatory strategies in clinical trials of severe sepsis. Design …

D eveloping evidence to improve clinical practice and disseminating it to be used by
clinicians to improve outcomes for individual patients is important. How long does it take to …