Decision Threshold Optimization for Diagnostic Tests using a Genetic Algorithm Introduction Typically, a clinical classifier generates a score that corresponds to likelihood of disease presence or future outcome. In order to facilitate decision-making, the score is sometimes converted to a discrete classification label using decision thresholds [1]. For binary classification, there is a single [...]

COVID-19 and Sepsis: Risk-Stratifying Patients Based on Their Immune Response Host-response diagnostics that “read” the immune response can help clinicians make better, faster treatment decisions Even before the pandemic, about 15 million patients per year presented to US emergency rooms with suspected acute infections or sepsis. Physicians often struggle with rapid and accurate diagnosis [...]

New Technologies Can Step Up Fight Against Antimicrobial Resistance and Sepsis Sepsis and antimicrobial resistance (AMR) account for growing numbers of deaths and healthcare costs worldwide. It is believed that sepsis causes over 5 million deaths annually. One report predicts that AMR could cause over 10 million deaths globally per year by 2050. Both [...]

Novel Technologies, Machine Learning are The Keys to Improving Acute Infection Diagnostics Diagnostics for acute infections and sepsis typically focus on “finding the bug,” but most patients with infections do not have pathogens in their bloodstream. Companies like Inflammatix are committed to this issue, using host-response diagnostics to read a patient’s immune system. Inflammatix’s [...]