This issue of Critical Care Clinics, guest edited by Dr. Mitchell M. Levy, focuses on Biomarkers in Critical Care. This is one of four issues each year selected by the series consulting editor, Dr. John Kellum. Articles in this issue include, but are not limited to: The History of Biomarkers; Biomarkers for Identifying Infection; Procalcitonin: Where Are We Now?; Soluble TREM-1: Diagnosis or Prognosis?; Lubricin as a Biomarker in Sepsis; Check Point Inhibitors and Their Role in Immunosuppression in Sepsis; Metabolomics and the Microbiome as Biomarkers in Sepsis; Lactate: Where Are We Now?; Predicting Renal Dysfunction; Biomarkers in the Evolution of ARDS; Biomarkers and RV Dysfunction; Biomarkers and Precision Medicine: State of the Art; The Use of Biomarkers for Population Homogeneity in Clinical Trials; and The Future of Biomarkers.

Guest edited by Dr. Michell Levy, articles for this edition of Critical Care Clinics include: Specificity and sensitivity; How to use biomarkers;Physiologic Parameters as biomarkers: What can we learn from physiologic variables and variation?;Multi-marker Panels;Coagulation biomarkers;Biomarkers in neurosurgery;Biomarkers in Trauma; and Cardiac Biomarkers

This issue of Critical Care Clinics, guest edited by Dr. Mitchell M. Levy, focuses on Biomarkers in Critical Care. This is one of four issues each year selected by the series consulting editor, Dr. John Kellum. Articles in this issue include, but are not limited to: The History of Biomarkers; Biomarkers for Identifying Infection; Procalcitonin: Where Are We Now?; Soluble TREM-1: Diagnosis or Prognosis?; Lubricin as a Biomarker in Sepsis; Check Point Inhibitors and Their Role in Immunosuppression in Sepsis; Metabolomics and the Microbiome as Biomarkers in Sepsis; Lactate: Where Are We Now?; Predicting Renal Dysfunction; Biomarkers in the Evolution of ARDS; Biomarkers and RV Dysfunction; Biomarkers and Precision Medicine: State of the Art; The Use of Biomarkers for Population Homogeneity in Clinical Trials; and The Future of Biomarkers.

This issue of Critical Care Clinics, edited by Mervyn singer and Manu Shankar-Hari, includes: Sepsis 3.0 Definitions; Epidemiology and Outcomes; Pathophysiology of sepsis; Pathophysiology of Septic shock; Mechanism of organ dysfunction in sepsis; Endocrine and metabolic alterations in sepsis: challenges and treatments; The immune system in sepsis; Nutrition and Sepsis; Common sense approach to managing sepsis; Biomarkers for sepsis and their use; Personalizing sepsis care; Novel interventions - What’s new and the future; and Long term outcomes following Sepsis.

In this issue of Critical Care Clinics, guest editors Drs. Rishikesan Kamaleswaran and Andre L. Holder bring their considerable expertise to the topic of Data Science in Critical Care. Data science, the field of study dedicated to the principled extraction of knowledge from complex data, is particularly relevant in the critical care setting. In this issue, top experts in the field cover key topics such as refining our understanding and classification of critical illness using biomarker-based phenotyping; predictive modeling using AI/ML on EHR data; classification and prediction using waveform-based data; creating trustworthy and fair AI systems; and more. - Contains 15 relevant, practice-oriented topics including AI and the imaging revolution; designing "living, breathing clinical trials: lessons learned from the COVID-19 pandemic; the patient or the population: knowing the limitations of our data to make smart clinical decisions; weighing the cost vs. benefit of AI in healthcare; and more. - Provides in-depth clinical reviews on data science in critical care, offering actionable insights for clinical practice. - Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.

This issue of Critical Care Clinics will focus on Severe Acute Respiratory DIstress Syndrome and dealing with it in the ICU. Topics will include: Challenges and Successes in ARDS Research;Mechanical ventilation with Lung Protective Strategies: What works?; Gene therapy for ALI/ARDS;High Frequency Oscillatory Ventilation in ALI/ARDS;Prone positioning therapy in ARDS;Recovery and Long-term outcome in ARDS; and Experimental models and emergeing hypotheses for ALI and ARDS

Dr. John Kellum has assembled an essential update on the topic of Nephrology as it relates to Critical Care Medicine. Articles include: Diagnostic criteria, Biomarkers for AKI, Sepsis-induced AKI,Drug-induced AKI, Cardio-renal syndrome,Surgery Associated AKI,Contrast-induced AKI, Principles of Fluid Therapy,Fluid composition and clinical effects, Renal replacement therapy, and Understanding acid-base.

This issue of Critical Care Clinics, guest edited by Drs. John Kellum and Dana Fuhrman, focuses on Acute Kidney Injury. This is one of four issues each year selected by the series consulting editor, Dr. John Kellum. Articles in this issue include, but are not limited to: Acute Kidney Injury and Disease, AKI in Cardiac Surgery, AKI in Sepsis, Hepatorenal Disease, Cardiorenal Syndrome, Onconephrology, Renal Functional Reserve and more.

In this issue of Critical Care Clinics, guest editors Drs. Rishikesan Kamaleswaran and Andre L. Holder bring their considerable expertise to the topic of Data Science in Critical Care. Data science, the field of study dedicated to the principled extraction of knowledge from complex data, is particularly relevant in the critical care setting. In this issue, top experts in the field cover key topics such as refining our understanding and classification of critical illness using biomarker-based phenotyping; predictive modeling using AI/ML on EHR data; classification and prediction using waveform-based data; creating trustworthy and fair AI systems; and more. Contains 15 relevant, practice-oriented topics including AI and the imaging revolution; designing "living, breathing" clinical trials: lessons learned from the COVID-19 pandemic; the patient or the population: knowing the limitations of our data to make smart clinical decisions; weighing the cost vs. benefit of AI in healthcare; and more. Provides in-depth clinical reviews on data science in critical care, offering actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.