Erin Brady

UK NHS project will support the clinical validity and utility of early pancreatic cancer detection and surveillance testing in up to 15,000 patients with newly diagnosed type 2 diabetes.

New results from the Monitoring the Future Survey show substance use trends in adolescents in 2024. The data show that overall substance use has continued to decline since the pandemic.

Hologic, Inc. announced that it has entered into an agreement with the Centers for Disease Control and Prevention (CDC) to develop analyte specific reagents (ASRs) — the “active ingredients” of laboratory-developed tests used to identify specific diseases or conditions — that would aid in the detection of H5N1 bird flu.

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Genomenon Genomic Graph (G3) knowledgebase combines patient and biological data from nearly all published scientific and medical studies, including demographics, clinical characteristics, phenotypes, treatments, outcomes, and disease-associated genes and variants.

Clinical decision support (CDS) systems can streamline the diagnostic process by assessing the appropriateness of ordered tests, identifying critical values, and minimizing treatment delays through automated decision-making support for clinicians. CDS has had a longstanding presence in diagnostics, exemplified by features like reflex testing and autoverification, which have aimed to optimize laboratory workflows and improve diagnostic outcomes. However, diagnostics are on the precipice of a significant shift in the landscape of CDS, marked by the emergence of a new generation of systems leveraging artificial intelligence (AI) technologies. This new generation of systems could improve laboratory testing by introducing advanced capabilities for data analysis, pattern recognition, and patient-centric interpretations. By harnessing the power of AI, next-generation CDS systems promise to deliver more sophisticated insights, enable faster and more accurate diagnoses, and enhance the overall quality of patient care. Here, we explore the potential impact of AI-backed CDS on diagnostic testing and emphasize its capacity for patient-centric interpretations to provide insights into how these advancements will reshape the field of laboratory medicine and improve healthcare outcomes.

The traditional view of the total testing process (TTP) consists of pre-analytic, analytic, and post-analytic phases. However, one must also consider a post-post-analytic phase — the process needed to get paid. Understanding the reimbursement process can mean whether a laboratory is profitable or a money loser. Medical billing is complex with many opportunities for denials and rejections. In the United States, 15%-17% of medical private payor claims are initially denied.

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A new study published in Neurology found no association between COVID-19 and worse multiple sclerosis (MS) symptoms, according to an American Academy of Neurology