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Fatty Acid Levels Could Help Predict Psychosis Risk

hospimedica.com November 18, 2016

A novel probabilistic model that combines history, clinical assessment, and fatty-acid biomarkers could help predict transition to first-episode psychosis.

biomarkers psychosis research study

Misunderstanding Buffering in Critical Illness

Prediction of Prolonged Mechanical Ventilation in the ICU via Machine Learning

Effect on Norepinephrine Administration Timing on Prognosis of Septic Shock Patients

An Optimal Antibiotic Selection Framework for Sepsis Patients Using AI

Severe Sepsis Care in the Emergency Department

Critical Care and Hospitalist Medicine Made Ridiculously Simple

COPD: Heterogeneity and Personalized Treatment

Hemodynamics in the Echocardiography Laboratory

Handbook of ICU EEG Monitoring

Non-Invasive Ventilation and Weaning: Principles and Practice, Second Edition

Ventilator Management: Advanced Concepts In Critical Care

Hemodynamic Monitoring Using Echocardiography in the Critically Ill

Bedside Procedures in the ICU

Evidence-Based Critical Care: A Case Study Approach

Severe Trauma and Sepsis: Organ Damage and Tissue Repair

Trauma Team Dynamics: A Trauma Crisis Resource Management Manual

ECMO in the Adult Patient (Core Critical Care)

COVID-19 and the Cardiovascular System: From Pathophysiology to Clinical Management